Triple
T5829673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matt Santos |
E129312
|
entity |
| Predicate | fictionalElectionYear |
P31557
|
FINISHED |
| Object | 2006 |
—
|
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: 2006 | Statement: [Matt Santos, fictionalElectionYear, 2006]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fictionalElectionYear Context triple: [Matt Santos, fictionalElectionYear, 2006]
-
A.
reElectionYear
Indicates the year in which an entity is (or is scheduled to be) elected again to the same position or office.
-
B.
firstElectionYear
Indicates the calendar year in which an entity (such as a person, office, or political body) first participated in or was subject to an election.
-
C.
yearOfPresidentialCampaign
Indicates the specific year in which an individual conducted or participated in a presidential election campaign.
-
D.
targetedOfficeElectionYear
Indicates the year in which the election is held for the office that is the target of the relationship.
-
E.
setInFictionalYear
chosen
Indicates that the events or narrative of a work are situated in a specified fictional or non-real calendar year.
- F. None of above.
Provenance (3 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_69c00849d55481908b4f9f5543e0bf6d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c044ab0a048190b84be40fb13c0f50 |
completed | March 22, 2026, 7:36 p.m. |
| PD | Predicate disambiguation | batch_69c03341e5888190a5f219b6f92cb161 |
completed | March 22, 2026, 6:21 p.m. |
Created at: March 22, 2026, 3:54 p.m.