Triple
T28913791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I.D.G.A.F.O.S. |
E733299
|
entity |
| Predicate | significantInCareerOf |
P158439
|
FINISHED |
| Object | Dillon Francis |
—
|
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: Dillon Francis | Statement: [I.D.G.A.F.O.S., significantInCareerOf, Dillon Francis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: significantInCareerOf Context triple: [I.D.G.A.F.O.S., significantInCareerOf, Dillon Francis]
-
A.
careerSignificanceFor
chosen
Indicates that something has notable importance, impact, or relevance within the course of a person’s career.
-
B.
significantOccupation
Indicates that an occupation plays a major or defining role in an entity’s life, status, or identity.
-
C.
significantWorkHeld
Indicates that an entity possesses, houses, or maintains an important or notable work (such as an artwork, document, or creation) in its collection or custody.
-
D.
managedCareerOf
Indicates that one entity was responsible for overseeing, directing, or handling the professional career of another entity.
-
E.
significantAfter
Indicates that one event or state occurs after another in a way that is temporally meaningful or non-trivially later, not just immediately or insignificantly afterward.
- 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_69f05b096d208190958a57d2e4b5a93a |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f6df450014819099d118e5c2d697fa |
completed | May 3, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69f6de07836481908785cde9c511920b |
completed | May 3, 2026, 5:32 a.m. |
Created at: April 28, 2026, 8:13 a.m.