Triple
T9076808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abe Reles |
E217504
|
entity |
| Predicate | turnedInformant |
P87074
|
FINISHED |
| Object | 1940 |
—
|
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: 1940 | Statement: [Abe Reles, turnedInformant, 1940]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: turnedInformant Context triple: [Abe Reles, turnedInformant, 1940]
-
A.
turnedInToAuthorities
Indicates that one entity surrendered or delivered another entity to law enforcement or official authorities.
-
B.
turnedPro
Indicates that an individual transitioned from amateur status to professional status in a particular field or activity.
-
C.
wasTransformedBy
Indicates that an entity has undergone a change of state, form, or condition as the result of an action, process, or agent.
-
D.
defectedTo
Indicates that an entity abandoned its original side, group, or allegiance and joined or gave support to another, typically opposing, side.
-
E.
confessedBy
Indicates that a particular admission or acknowledgment of guilt, wrongdoing, or truth was made by a specific entity.
- 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_69ca83d6c14c8190bc056d927f00a2a2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc95c6a67c81908d143aa25e1e803e |
completed | April 1, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69cc65fa79bc81908b46f05c8bba920f |
completed | April 1, 2026, 12:25 a.m. |
| PDg | Predicate description generation | batch_69cc6a3c78388190a7436acc0e44ff55 |
completed | April 1, 2026, 12:43 a.m. |
Created at: March 30, 2026, 7:12 p.m.