Triple
T34125395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pin Up Girl |
E875260
|
entity |
| Predicate | leadStarNotableFor |
P22
|
FINISHED |
| Object | pin-up status during World War II |
—
|
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: pin-up status during World War II | Statement: [Pin Up Girl, leadStarNotableFor, pin-up status during World War II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadStarNotableFor Context triple: [Pin Up Girl, leadStarNotableFor, pin-up status during World War II]
-
A.
notableListing
Indicates that an entity is prominently featured or recognized in a particular listing, directory, or catalog.
-
B.
notableLicensedProperty
Indicates that one entity is a prominent or significant intellectual property for which another entity holds an official license or usage rights.
-
C.
notableFor
chosen
Indicates that an entity is especially recognized or distinguished for a particular quality, achievement, characteristic, or role.
-
D.
notableLocationFeatured
Indicates that a particular location is prominently highlighted or showcased in relation to the subject.
-
E.
notableCoStarInWork
Indicates that two people are notable co-stars who appeared together in the same work (such as a film, series, or performance).
- 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_69f349aa33848190a2e6c5e4533c8444 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70fb4f18c819099ef6d9177b7d205 |
completed | May 3, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69f70f3a54d481909ba6bdda3647b761 |
completed | May 3, 2026, 9:02 a.m. |
Created at: May 1, 2026, 1:53 a.m.