Triple
T37595547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The 14 Fists of McCluskey |
E935373
|
entity |
| Predicate | contributesToReputationOf |
P190377
|
FINISHED |
| Object | Rick Dalton |
—
|
NE NERFINISHED |
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: Rick Dalton | Statement: [The 14 Fists of McCluskey, contributesToReputationOf, Rick Dalton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contributesToReputationOf Context triple: [The 14 Fists of McCluskey, contributesToReputationOf, Rick Dalton]
-
A.
refersToPersonReputation
Indicates that something is about, concerns, or makes reference to a particular person's reputation.
-
B.
placeInReputation
Indicates that an entity holds a particular standing, status, or level within a reputation or ranking system.
-
C.
associatedWithReputation
Indicates a relationship where an entity is linked to, influenced by, or characterized in terms of another entity’s reputation or perceived standing.
-
D.
influencedReputationAs
chosen
Indicates that one entity’s actions or opinions have affected how another entity is perceived in a specific role or capacity.
-
E.
hasReputationAmong
Indicates that an entity is regarded or perceived in a particular way by a specified group or audience.
- F. None of above.
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_69f76ecf39c081909baffe597bb55273 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ff41645c548190b7cb4e53079b93ef |
completed | May 9, 2026, 2:15 p.m. |
| PD | Predicate disambiguation | batch_69ff410aa33c8190869ba769ac2a93ce |
completed | May 9, 2026, 2:13 p.m. |
Created at: May 3, 2026, 4:18 p.m.