Triple
T36004883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salvatore Phillip Bono |
E1041234
|
entity |
| Predicate | startTime (mayor of Palm Springs) |
P202612
|
FINISHED |
| Object | 1988 |
—
|
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: 1988 | Statement: [Salvatore Phillip Bono, startTime (mayor of Palm Springs), 1988]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTime (mayor of Palm Springs) Context triple: [Salvatore Phillip Bono, startTime (mayor of Palm Springs), 1988]
-
A.
endTime (mayor of Palm Springs)
Indicates the time at which a person’s tenure as mayor of Palm Springs concludes.
-
B.
startTime (mayor of Boston)
Indicates the specific point in time when an individual began serving as the mayor of Boston.
-
C.
startTime (Mayor of Paterson)
Indicates the point in time at which a person begins serving as Mayor of Paterson.
-
D.
startTime (Mayor of Florence)
Indicates the point in time at which a person begins serving as Mayor of Florence.
-
E.
startTime (Mayor of Tehran)
Indicates the point in time at which a person begins serving as Mayor of Tehran.
- 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_69f76e2a02208190aedd1f9025a8b300 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a00a094c44c81908e4501151688a635 |
completed | May 10, 2026, 3:13 p.m. |
| PD | Predicate disambiguation | batch_6a009fcdfd848190841deaad9667d347 |
completed | May 10, 2026, 3:10 p.m. |
| PDg | Predicate description generation | batch_6a00a09383548190b05620e6b185bf05 |
completed | May 10, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:07 p.m.