Triple
T7396401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deadpool 2 |
E170631
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Weasel
Weasel is a sarcastic bartender, arms dealer, and reluctant ally to Deadpool in the Deadpool film series, providing comic relief and underworld connections.
|
E661210
|
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: Weasel | Statement: [Deadpool 2, character, Weasel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weasel Context triple: [Deadpool 2, character, Weasel]
-
A.
Weazel
Weazel is a minor character portrayed by Warwick Davis in the Star Wars universe, appearing as a gambler and spectator in the podracing scenes of "Star Wars: Episode I – The Phantom Menace."
-
B.
Badger
Badger is a wise, kind, and somewhat reclusive character from Kenneth Grahame’s "The Wind in the Willows," known for offering guidance and shelter to his woodland friends.
-
C.
Badger
Badger is a fictional character appearing in the work "The Return of Ulysses."
-
D.
Badger
Badger is a British rock band best known for its early-1970s progressive rock sound and connections to members of the band Yes.
-
E.
Badger
Badger is a small town in central Newfoundland and Labrador, Canada, known historically for its logging industry and proximity to the Exploits River.
- 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: Weasel Triple: [Deadpool 2, character, Weasel]
Generated description
Weasel is a sarcastic bartender, arms dealer, and reluctant ally to Deadpool in the Deadpool film series, providing comic relief and underworld connections.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Weasel Target entity description: Weasel is a sarcastic bartender, arms dealer, and reluctant ally to Deadpool in the Deadpool film series, providing comic relief and underworld connections.
-
A.
Weazel
Weazel is a minor character portrayed by Warwick Davis in the Star Wars universe, appearing as a gambler and spectator in the podracing scenes of "Star Wars: Episode I – The Phantom Menace."
-
B.
Badger
Badger is a wise, kind, and somewhat reclusive character from Kenneth Grahame’s "The Wind in the Willows," known for offering guidance and shelter to his woodland friends.
-
C.
Badger
Badger is a small town in central Newfoundland and Labrador, Canada, known historically for its logging industry and proximity to the Exploits River.
-
D.
Badger
Badger is a fictional character appearing in the work "The Return of Ulysses."
-
E.
Badger
Badger is the NATO reporting name for the Soviet-era Tupolev Tu-16, a twin-engine jet strategic bomber widely used during the Cold War.
- 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_69c68a5f04188190ac266569c9280347 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f248f79c819094b1d1e2c3d511d1 |
completed | March 27, 2026, 9:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81101dd448190bcf221f7625c9d34 |
completed | March 28, 2026, 5:33 p.m. |
| NEDg | Description generation | batch_69c811b681b48190a5161871f1f400f9 |
completed | March 28, 2026, 5:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8122513d88190ab12f649e8d0d59b |
completed | March 28, 2026, 5:38 p.m. |
Created at: March 27, 2026, 3:09 p.m.