Triple
T29133457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Take a Girl Like You |
E738442
|
entity |
| Predicate | televisionAdaptationFormat |
P66878
|
FINISHED |
| Object | television serial |
—
|
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: television serial | Statement: [Take a Girl Like You, televisionAdaptationFormat, television serial]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: televisionAdaptationFormat Context triple: [Take a Girl Like You, televisionAdaptationFormat, television serial]
-
A.
televisionFormat
chosen
Indicates the specific type or style of television program or production format associated with an entity.
-
B.
filmAdaptationFormat
Indicates the specific medium or format (e.g., feature film, TV movie, short film) in which a work has been adapted into a film.
-
C.
televisionFilmAdaptation
Indicates that a television film is an adaptation of another work, such as a book, play, or earlier production.
-
D.
isTelevisionAdaptationOf
Indicates that a television show is an adaptation derived from the story, characters, or content of another original work.
-
E.
notableAdaptationType
Indicates that one work is a significant adaptation of another work in a specific way or medium (e.g., film adaptation, stage adaptation).
- 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_69f07cb3adb48190a9e0e169cd026634 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f6622f519881909a265ebf46433064 |
completed | May 2, 2026, 8:44 p.m. |
| PD | Predicate disambiguation | batch_69f660f082508190a95a7888ad66cb2e |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 11:33 a.m.