Triple
T38267979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Shack (segments / involvement as director) |
E1021118
|
entity |
| Predicate | hasMultipleDirectors |
P198279
|
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: [The Shack (segments / involvement as director), hasMultipleDirectors, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMultipleDirectors Context triple: [The Shack (segments / involvement as director), hasMultipleDirectors, true]
-
A.
numberOfDirectors
Indicates the total count of directors associated with a given entity.
-
B.
hasDirectorStar
Indicates that a person both directed and starred in the same work (e.g., film, show, or production).
-
C.
hasDirectorScreenwriter
Indicates that a director is also the screenwriter (or one of the screenwriters) for a given work.
-
D.
hasDirectorWriterCombination
Indicates that a specific combination of director and writer is associated with a particular work or production.
-
E.
hasAuthorDirector
Indicates that an entity (such as a work or production) has a person who serves in both the roles of author and director for 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_69f76dee198c8190bf5109421e47a658 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fed6da0390819096b88ef4714b144e |
completed | May 9, 2026, 6:40 a.m. |
| PD | Predicate disambiguation | batch_69fed53517d081909966f31707625f1a |
completed | May 9, 2026, 6:33 a.m. |
| PDg | Predicate description generation | batch_69fed6d90f2081909cd21e5e973a6b89 |
completed | May 9, 2026, 6:40 a.m. |
Created at: May 3, 2026, 4:30 p.m.