Triple
T38571364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill O'Neal |
E929281
|
entity |
| Predicate | wasBodyguardFor |
P191205
|
FINISHED |
| Object | Fred Hampton |
—
|
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: Fred Hampton | Statement: [Bill O'Neal, wasBodyguardFor, Fred Hampton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasBodyguardFor Context triple: [Bill O'Neal, wasBodyguardFor, Fred Hampton]
-
A.
leadActorPlaysBodyguard
Indicates that the lead actor portrays the role of a bodyguard.
-
B.
bodyguardType
Indicates the specific role or category of bodyguard service associated with an entity.
-
C.
wasCompanionOf
Indicates that one entity accompanied or associated closely with another, typically as a partner, ally, or fellow participant over some period of time.
-
D.
bodyguardOriginalNetwork
Indicates that a bodyguard character is originally associated with or appears on a specified television network.
-
E.
notableAfterguardMember
Indicates that an individual is recognized as a prominent or distinguished member of a ship’s afterguard (the senior or aft-deck crew).
- F. None of above. chosen
Provenance (4 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_69f76ebd2248819083978362d81fa35e |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdaa36f90819093f8661969990c7d |
completed | May 7, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fefc588190b063d7ea1ec87b07 |
completed | May 7, 2026, 6:25 p.m. |
| PDg | Predicate description generation | batch_69fcdaa2bfc08190beccabb0f1782d0d |
completed | May 7, 2026, 6:32 p.m. |
Created at: May 3, 2026, 4:32 p.m.