Triple
T18704046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leverage Consulting & Associates |
E457325
|
entity |
| Predicate | roleOfParker |
P132363
|
FINISHED |
| Object | thief |
—
|
LITERAL FINISHED |
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: thief | Statement: [Leverage Consulting & Associates, roleOfParker, thief]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfParker Context triple: [Leverage Consulting & Associates, roleOfParker, thief]
-
A.
Doug ParkerRole
Indicates that the person has the specific role, position, or job title associated with Doug Parker.
-
B.
roleInWatchmen
Indicates that one entity has a specific role or function within the context of the work "Watchmen" in relation to the other entity.
-
C.
roleOfGuyPatterson
Indicates that an entity serves as or holds the role associated with Guy Patterson in relation to another entity or context.
-
D.
roleInTonyStarkLife
Indicates the specific role or significance an entity has in Tony Stark's life.
-
E.
roleInSherlock
Indicates the specific role or character that an entity portrays or holds in the context of the Sherlock series or franchise.
- 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5671597ac819093dbb53553130f1e |
completed | April 19, 2026, 11:36 p.m. |
| PD | Predicate disambiguation | batch_69e478de85088190ba5f005f1d39f587 |
completed | April 19, 2026, 6:40 a.m. |
| PDg | Predicate description generation | batch_69e484133ee48190a80f1889d79f34c9 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 11:49 a.m.