Triple
T33337655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Have You Seen Her |
E853583
|
entity |
| Predicate | coverVersionTitle |
P188811
|
FINISHED |
| Object | Have You Seen Her |
—
|
NE NERFINISHED |
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: Have You Seen Her | Statement: [Have You Seen Her, coverVersionTitle, Have You Seen Her]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coverVersionTitle Context triple: [Have You Seen Her, coverVersionTitle, Have You Seen Her]
-
A.
coverVersionBy
Indicates that one creative work is a cover version performed or produced by a particular artist or entity.
-
B.
cover
Indicates that one entity extends over, conceals, protects, or provides a surface or layer for another entity.
-
C.
coverText
Indicates that one text serves as the cover or front-facing textual representation for another work or resource.
-
D.
coversLabel
Indicates that one entity’s scope, content, or applicability includes or encompasses the label associated with another entity.
-
E.
titleOver
Indicates that one entity holds a formal title, rank, or designation in relation to another entity, often implying authority, status, or role over it.
- 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_69f34969614c81909cd99661b0902533 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fbad1e94988190b86d447a68e65067 |
completed | May 6, 2026, 9:05 p.m. |
| PD | Predicate disambiguation | batch_69fba881b8e0819094790935152b99a1 |
completed | May 6, 2026, 8:45 p.m. |
| PDg | Predicate description generation | batch_69fbad1b3ba08190ad69e21461333f2e |
completed | May 6, 2026, 9:05 p.m. |
Created at: May 1, 2026, 1:34 a.m.