Triple
T31694073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1980 United States Senate election in New York |
E808872
|
entity |
| Predicate | incumbentLostPrimaryTo |
P172968
|
FINISHED |
| Object | Alfonse D'Amato |
—
|
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: Alfonse D'Amato | Statement: [1980 United States Senate election in New York, incumbentLostPrimaryTo, Alfonse D'Amato]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: incumbentLostPrimaryTo Context triple: [1980 United States Senate election in New York, incumbentLostPrimaryTo, Alfonse D'Amato]
-
A.
democraticPrimaryLoser
Indicates that an entity is a candidate who participated in a Democratic primary election and did not win that primary.
-
B.
incumbentAfterElection
Indicates that an entity holds a position or office as the sitting incumbent following a specified election.
-
C.
incumbentOutcome
Indicates the result or consequence experienced by the current officeholder or position-holder in a given event or context.
-
D.
incumbentBeforeElection
Indicates that the subject was already holding the relevant office or position prior to the specified election.
-
E.
wonPrimary
Indicates that a candidate secured victory in a primary election against their competitors.
- 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_69f348ddcbc48190950cabcc25ff29b3 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6b2d9aad88190a445f8f591cb19fc |
completed | May 3, 2026, 2:28 a.m. |
| PD | Predicate disambiguation | batch_69f6b14faf608190a25b977c0740729c |
completed | May 3, 2026, 2:22 a.m. |
| PDg | Predicate description generation | batch_69f6b21da77081908c5c015c4606d344 |
completed | May 3, 2026, 2:25 a.m. |
Created at: April 30, 2026, 11:09 p.m.