Triple
T35316162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS Keeling |
E1019910
|
entity |
| Predicate | titleOfFilmAdaptation |
P131519
|
FINISHED |
| Object | Greyhound |
—
|
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: Greyhound | Statement: [USS Keeling, titleOfFilmAdaptation, Greyhound]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleOfFilmAdaptation Context triple: [USS Keeling, titleOfFilmAdaptation, Greyhound]
-
A.
titleOfBookAdaptation
Indicates that one entity is the title of a book from which the other entity (an adaptation, such as a film or series) is derived.
-
B.
hasFilmAdaptationTitle
chosen
Indicates that a creative work has a film adaptation whose title is given by the related value.
-
C.
novelTitleAdaptedFrom
Indicates that the title of one work is derived from, based on, or adapted from the title of another work.
-
D.
filmAdaptationOfWorkBy
Indicates that a film is an adaptation of a work created by the specified person or entity.
-
E.
inFilmAdaptation
Indicates that one work or element appears within, or is incorporated into, a film adaptation of another work.
- 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_69f76de9d45c81908a2ed0956b448b65 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff70ecc1a481909571b18d56d982b8 |
completed | May 9, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69ff70322a3c8190837840ea42cd3093 |
completed | May 9, 2026, 5:34 p.m. |
Created at: May 3, 2026, 4:03 p.m.