Triple
T24274073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gore family |
E605358
|
entity |
| Predicate | notableForIssue |
P22
|
FINISHED |
| Object | environmental policy through Al Gore |
—
|
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: environmental policy through Al Gore | Statement: [Gore family, notableForIssue, environmental policy through Al Gore]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableForIssue Context triple: [Gore family, notableForIssue, environmental policy through Al Gore]
-
A.
notableEarlyIssue
Indicates that the subject is a significant or noteworthy early edition, release, or version of the object.
-
B.
notableFor
chosen
Indicates that an entity is especially recognized or distinguished for a particular quality, achievement, characteristic, or role.
-
C.
hasNotableIssue
Indicates that an entity is associated with a significant problem, concern, or defect that is noteworthy or exceptional compared to typical cases.
-
D.
notableResolution
Indicates that an entity is distinguished or recognized for having a particularly important, impactful, or well-known resolution or decision.
-
E.
notableDuring
Indicates that something was especially prominent, active, or significant during a particular time period or event.
- 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_69e2954707dc8190915551eb114cfff6 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28d5da53c8190810f4e7777d112ba |
completed | April 29, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69f1c457a2908190993824395b3c365d |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:07 a.m.