Triple
T36266849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | It Should Happen to You |
E892249
|
entity |
| Predicate | hasBillboardMotif |
P187430
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [It Should Happen to You, hasBillboardMotif, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBillboardMotif Context triple: [It Should Happen to You, hasBillboardMotif, true]
-
A.
hasBillboardStar
Indicates that an entity has been awarded or features a star on a billboard, signifying recognition or promotion.
-
B.
badgeCentralMotif
Indicates that one entity serves as the central or primary motif featured on a badge in relation to another entity.
-
C.
hasBillShape
Indicates that one entity has a bill whose shape matches the specified form or category.
-
D.
hasSignageIn
Indicates that appropriate signs or signage for an entity are present or installed within a specified location or area.
-
E.
hasSignage
Indicates that appropriate signs or visual markers are present to convey information, directions, warnings, or identification related to the associated entity.
- 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_69f76e4699188190af045b11a840ce31 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fb563aec448190875410fb1a3ed624 |
completed | May 6, 2026, 2:54 p.m. |
| PD | Predicate disambiguation | batch_69fb35b9ede881908aaae93a215525df |
completed | May 6, 2026, 12:36 p.m. |
| PDg | Predicate description generation | batch_69fb563a28d88190b28345c465c545f8 |
completed | May 6, 2026, 2:54 p.m. |
Created at: May 3, 2026, 4:09 p.m.