Triple
T18527793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Absorbing Man |
E452762
|
entity |
| Predicate | hasAlias |
P455
|
FINISHED |
| Object |
Crusher Creel
Crusher Creel is a Marvel Comics supervillain best known as the Absorbing Man, who can mimic the properties of any material he touches.
|
E1328908
|
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: Crusher Creel | Statement: [Absorbing Man, hasAlias, Crusher Creel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crusher Creel Context triple: [Absorbing Man, hasAlias, Crusher Creel]
-
A.
Chili Palmer
Chili Palmer is a cool, sharp-witted Miami loan shark who navigates Hollywood’s underworld with deadpan charm in Elmore Leonard’s crime-comedy universe.
-
B.
Dante Hicks
Dante Hicks is a beleaguered convenience store clerk and the central everyman protagonist of Kevin Smith’s film "Clerks."
-
C.
Robin Corbett
Robin Corbett was a British Labour Party politician who served as a Member of Parliament and was known for his work on civil liberties and prison reform.
-
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.
Jack Deerson
Jack Deerson is a cinematographer best known for his work on the 1971 road movie "Two-Lane Blacktop."
- 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: Crusher Creel Triple: [Absorbing Man, hasAlias, Crusher Creel]
Generated description
Crusher Creel is a Marvel Comics supervillain best known as the Absorbing Man, who can mimic the properties of any material he touches.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Crusher Creel Target entity description: Crusher Creel is a Marvel Comics supervillain best known as the Absorbing Man, who can mimic the properties of any material he touches.
-
A.
Chili Palmer
Chili Palmer is a cool, sharp-witted Miami loan shark who navigates Hollywood’s underworld with deadpan charm in Elmore Leonard’s crime-comedy universe.
-
B.
Dante Hicks
Dante Hicks is a beleaguered convenience store clerk and the central everyman protagonist of Kevin Smith’s film "Clerks."
-
C.
Robin Corbett
Robin Corbett was a British Labour Party politician who served as a Member of Parliament and was known for his work on civil liberties and prison reform.
-
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.
Jack Deerson
Jack Deerson is a cinematographer best known for his work on the 1971 road movie "Two-Lane Blacktop."
- 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e533f9bd1081909743b24e290b7dfe |
completed | April 19, 2026, 7:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a049178ea1c819085480137adfb3841 |
completed | May 13, 2026, 2:58 p.m. |
| NEDg | Description generation | batch_6a04921b1a508190b8bb6d6c4597ab99 |
completed | May 13, 2026, 3 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0492ba4ea08190b59510b221ad5d21 |
completed | May 13, 2026, 3:03 p.m. |
Created at: April 10, 2026, 11:37 a.m.