Triple
T25964924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Edwards 2008 presidential campaign |
E645638
|
entity |
| Predicate | notableEndorsement |
P195852
|
FINISHED |
| Object | some labor organizations |
—
|
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: some labor organizations | Statement: [John Edwards 2008 presidential campaign, notableEndorsement, some labor organizations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableEndorsement Context triple: [John Edwards 2008 presidential campaign, notableEndorsement, some labor organizations]
-
A.
notableFor
Indicates that an entity is especially recognized or distinguished for a particular quality, achievement, characteristic, or role.
-
B.
notableAwardRecognition
Indicates that an entity has received or been formally recognized with a notable award or honor.
-
C.
notableFavorite
Indicates that one entity is a particularly prominent or distinguished favorite of another entity compared to other possible favorites.
-
D.
notableAwardOrHonor
Indicates that an entity has received a specific notable award or honor.
-
E.
notableWinner
Indicates that the subject is a particularly distinguished or prominent winner of the referenced competition, award, or contest.
- 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_69e77e85efc08190997da7fcf98bd300 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69fdec5ffe088190ac5505f26c6cff18 |
completed | May 8, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69fdeae15f1c81908fc63fbc1b028d2e |
completed | May 8, 2026, 1:53 p.m. |
| PDg | Predicate description generation | batch_69fdec5f0420819087c0230ad384c4ba |
completed | May 8, 2026, 1:59 p.m. |
Created at: April 22, 2026, 8:48 a.m.