Triple
T26702921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taken film series |
E673208
|
entity |
| Predicate | taglineElement |
P29269
|
FINISHED |
| Object | particular set of skills |
—
|
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: particular set of skills | Statement: [Taken film series, taglineElement, particular set of skills]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: taglineElement Context triple: [Taken film series, taglineElement, particular set of skills]
-
A.
taglineForm
Indicates that one entity serves as the tagline or slogan associated with another entity.
-
B.
taglineMatch
Indicates that two entities share the same tagline or that a tagline corresponds to a given entity.
-
C.
hasTagline
Indicates that an entity is associated with a specific slogan or tagline that represents or promotes it.
-
D.
taglineWordplay
Indicates that a tagline employs wordplay, such as puns, double meanings, or playful language, as a key part of its expression.
-
E.
sloganComponent
chosen
Indicates that one element functions as a constituent or part of a larger slogan.
- 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_69eecda2b49c8190a6c481cfc4c07954 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f6178140788190b8492b75a2eb7cc4 |
completed | May 2, 2026, 3:25 p.m. |
| PD | Predicate disambiguation | batch_69f60b8dfa0c8190864e1a940024d0a0 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 3:32 a.m.