Triple
T33630355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Gray Man (novel) |
E861535
|
entity |
| Predicate | characterRoleOfCourtGentry |
P199622
|
FINISHED |
| Object | former CIA operative |
—
|
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: former CIA operative | Statement: [The Gray Man (novel), characterRoleOfCourtGentry, former CIA operative]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterRoleOfCourtGentry Context triple: [The Gray Man (novel), characterRoleOfCourtGentry, former CIA operative]
-
A.
roleAtCourt
Indicates the specific position, function, or status an entity holds within a court or courtly setting.
-
B.
courtRole
Indicates the specific capacity or position an entity holds within a court proceeding or judicial context.
-
C.
legalCaseRole
Indicates the specific role or capacity an entity holds within a legal case, such as plaintiff, defendant, judge, or attorney.
-
D.
roleOfPerryMasonPlayedBy
Indicates that a specified role of the character Perry Mason is portrayed by a particular actor.
-
E.
roleAtWolframAndHart
Indicates that an entity holds or held a specific role or position within the organization Wolfram & Hart.
- 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_69f34981c54c81909b33c3fa2208a52d |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff49016dcc8190a8a43868c728b4f1 |
completed | May 9, 2026, 2:47 p.m. |
| PD | Predicate disambiguation | batch_69ff4891924c8190b5be340e2520e012 |
completed | May 9, 2026, 2:45 p.m. |
| PDg | Predicate description generation | batch_69ff490096388190832a90e9abbc8d81 |
completed | May 9, 2026, 2:47 p.m. |
Created at: May 1, 2026, 1:41 a.m.