Triple
T38571360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill O'Neal |
E929281
|
entity |
| Predicate | informedOn |
P118315
|
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, informedOn, Fred Hampton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: informedOn Context triple: [Bill O'Neal, informedOn, Fred Hampton]
-
A.
providedInformationOn
Indicates that one entity supplied or communicated specific information or details to another entity.
-
B.
secretlyInformed
chosen
Indicates that one entity provided information to another in a concealed or confidential manner, without the knowledge of others.
-
C.
usedInforms
Indicates that one entity utilizes information from another entity to guide or shape its own actions, decisions, or outputs.
-
D.
providedInformationTo
Indicates that one entity has supplied or communicated information to another entity.
-
E.
providesInformationIn
Indicates that one entity supplies or conveys information within or through another entity or context.
- 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_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. |
Created at: May 3, 2026, 4:32 p.m.