Triple
T562503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jay Leno |
E13481
|
entity |
| Predicate | hasInterest |
P1074
|
FINISHED |
| Object | automobiles |
—
|
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: automobiles | Statement: [Jay Leno, hasInterest, automobiles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInterest Context triple: [Jay Leno, hasInterest, automobiles]
-
A.
representsInterestOf
chosen
Indicates that one entity expresses, holds, or embodies an interest, concern, or stake in another entity or subject.
-
B.
loveInterest
Indicates that one entity is the romantic object of affection or attraction for another entity.
-
C.
isPopularWith
Indicates that one entity is well-liked, favored, or widely accepted by another entity or group.
-
D.
hasInteraction
Indicates that there is some form of interaction or mutual action occurring between the related entities.
-
E.
introducedTo
Indicates that one entity caused or facilitated a first meeting or formal presentation between another entity and a third party.
- 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_69a4933edcf08190b35ecfd6014caee6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49a700e608190b235246df057bd9b |
completed | March 1, 2026, 7:58 p.m. |
| PD | Predicate disambiguation | batch_69a494c044648190a98589ab18935216 |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:32 p.m.