Triple
T24293606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Lindsay |
E605889
|
entity |
| Predicate | precededBy (Mayor of New York City) |
P155422
|
FINISHED |
| Object | Robert F. Wagner Jr. |
—
|
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: Robert F. Wagner Jr. | Statement: [John Lindsay, precededBy (Mayor of New York City), Robert F. Wagner Jr.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: precededBy (Mayor of New York City) Context triple: [John Lindsay, precededBy (Mayor of New York City), Robert F. Wagner Jr.]
-
A.
precededBy (Governor of New York)
Indicates that one entity held the position of Governor of New York before another entity.
-
B.
precededBy (Mayor of Taipei)
Indicates that one mayor of Taipei held office immediately before another mayor of Taipei.
-
C.
precededBy (Mayor of Lisbon)
Indicates that one entity held the position of Mayor of Lisbon before another entity in a temporal sequence.
-
D.
succeededBy (Governor of New York)
Indicates that one individual directly follows another in holding the office of Governor of New York.
-
E.
precededBy (Governor of California)
Indicates that one entity held the position of Governor of California before another entity in temporal order.
- 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_69e29549335881909cbf27adcaba1cf0 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f2915870c8819089c14de19ba2a5c5 |
completed | April 29, 2026, 11:16 p.m. |
| PD | Predicate disambiguation | batch_69f1c45c6ec081908401b69424428100 |
completed | April 29, 2026, 8:42 a.m. |
| PDg | Predicate description generation | batch_69f1c6d4e99081909f61899eccafb73e |
completed | April 29, 2026, 8:52 a.m. |
Created at: April 18, 2026, 12:09 a.m.