Triple
T10249830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kar |
E240310
|
entity |
| Predicate | enemyOf |
P437
|
FINISHED |
| Object | Strucker |
E821791
|
NE FINISHED |
How this triple was built (2 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: [Kar, enemyOf, Strucker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Strucker Context triple: [Kar, enemyOf, Strucker]
-
A.
Strucker
chosen
Strucker is a fictional antagonist, often depicted as a powerful and dangerous foe in comic book and related media storylines.
-
B.
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.
-
C.
Krieger
Krieger is a surname of German origin borne by various notable individuals across fields such as technology, music, and academia.
-
D.
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.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d23c4cd88190b99e65a074b68d6b |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f7b66c6881908b432fbdd5ecf11e |
completed | April 9, 2026, 12:49 a.m. |
Created at: April 6, 2026, 11:28 a.m.