Triple
T9802326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Monk |
E237868
|
entity |
| Predicate | enemyOf |
P437
|
FINISHED |
| Object |
Strucker
Strucker is a fictional antagonist, often depicted as a powerful and dangerous foe in comic book and related media storylines.
|
E821791
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Strucker | Statement: [The Monk, enemyOf, Strucker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Strucker Context triple: [The Monk, enemyOf, Strucker]
-
A.
William Stryker
William Stryker is a recurring X-Men villain, typically portrayed as a fanatical military or religious figure obsessed with controlling or eradicating mutants, particularly Wolverine.
-
B.
Krieger
Krieger is a surname of German origin borne by various notable individuals across fields such as technology, music, and academia.
-
C.
Jerome Valeska
Jerome Valeska is a sadistic, anarchic criminal and proto-Joker figure in the TV series "Gotham," known for his maniacal laughter and chaotic schemes.
-
D.
Thunderbolt Ross
Thunderbolt Ross is a high-ranking U.S. military officer in Marvel Comics, best known for obsessively hunting the Hulk and later becoming the Red Hulk.
-
E.
Darren Cross
Darren Cross is a Marvel Comics supervillain and the primary antagonist in the film "Ant-Man," where he becomes the armored Yellowjacket after attempting to weaponize Pym Particle technology.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Strucker Triple: [The Monk, enemyOf, Strucker]
Generated description
Strucker is a fictional antagonist, often depicted as a powerful and dangerous foe in comic book and related media storylines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Strucker Target entity description: Strucker is a fictional antagonist, often depicted as a powerful and dangerous foe in comic book and related media storylines.
-
A.
William Stryker
William Stryker is a recurring X-Men villain, typically portrayed as a fanatical military or religious figure obsessed with controlling or eradicating mutants, particularly Wolverine.
-
B.
Krieger
Krieger is a surname of German origin borne by various notable individuals across fields such as technology, music, and academia.
-
C.
Jerome Valeska
Jerome Valeska is a sadistic, anarchic criminal and proto-Joker figure in the TV series "Gotham," known for his maniacal laughter and chaotic schemes.
-
D.
Thunderbolt Ross
Thunderbolt Ross is a high-ranking U.S. military officer in Marvel Comics, best known for obsessively hunting the Hulk and later becoming the Red Hulk.
-
E.
Darren Cross
Darren Cross is a Marvel Comics supervillain and the primary antagonist in the film "Ant-Man," where he becomes the armored Yellowjacket after attempting to weaponize Pym Particle technology.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca84dd4608819097ff4ed00feca280 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda62b41048190bcef70a7591830c6 |
completed | April 1, 2026, 11:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1c44edac48190a44fdfb858d0dbba |
completed | April 5, 2026, 2:09 a.m. |
| NEDg | Description generation | batch_69d1c50af000819087d643cc41a6fcc8 |
completed | April 5, 2026, 2:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1c5d39b288190b276371591a86399 |
completed | April 5, 2026, 2:15 a.m. |
Created at: March 30, 2026, 8:29 p.m.