Triple
T19651518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Pascrell |
E471825
|
entity |
| Predicate | startTime (Mayor of Paterson) |
P136836
|
FINISHED |
| Object | 1990 |
—
|
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: 1990 | Statement: [Bill Pascrell, startTime (Mayor of Paterson), 1990]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTime (Mayor of Paterson) Context triple: [Bill Pascrell, startTime (Mayor of Paterson), 1990]
-
A.
startTime (Governor of New York)
Indicates the point in time at which a person begins serving as Governor of New York.
-
B.
startTime (Mayor of Taipei)
Indicates the specific point in time when a person begins serving as Mayor of Taipei.
-
C.
startTime (Governor of New Jersey)
Indicates the point in time at which a person begins serving as Governor of New Jersey.
-
D.
startTime (Senate Majority Leader)
Indicates the specific time at which the person serves or begins serving as Senate Majority Leader.
-
E.
startTime (House Majority Leader)
Indicates the point in time at which a person begins serving as House Majority Leader.
- 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64141f61c819098fe148581fb1747 |
completed | April 20, 2026, 3:07 p.m. |
| PD | Predicate disambiguation | batch_69e514e941008190898d978d7bde91e4 |
completed | April 19, 2026, 5:46 p.m. |
| PDg | Predicate description generation | batch_69e51a23300c8190988552491d9783d7 |
completed | April 19, 2026, 6:08 p.m. |
Created at: April 10, 2026, 1:44 p.m.