Triple
T30858164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strait-Jacket (1964 film) |
E785985
|
entity |
| Predicate | marketingGimmickUsedByDirector |
P8307
|
FINISHED |
| Object |
William Castle promoted the film with theatrical gimmicks involving cardboard axes.
William Castle promoted the film with theatrical gimmicks involving cardboard axes, reflecting his reputation as a showman director famous for sensational, interactive horror-movie stunts.
|
E1935877
|
NE FINISHED |
How this triple was built (3 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: William Castle promoted the film with theatrical gimmicks involving cardboard axes. | Statement: [Strait-Jacket (1964 film), marketingGimmickUsedByDirector, William Castle promoted the film with theatrical gimmicks involving cardboard axes.]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: William Castle promoted the film with theatrical gimmicks involving cardboard axes. Triple: [Strait-Jacket (1964 film), marketingGimmickUsedByDirector, William Castle promoted the film with theatrical gimmicks involving cardboard axes.]
Generated description
William Castle promoted the film with theatrical gimmicks involving cardboard axes, reflecting his reputation as a showman director famous for sensational, interactive horror-movie stunts.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marketingGimmickUsedByDirector Context triple: [Strait-Jacket (1964 film), marketingGimmickUsedByDirector, William Castle promoted the film with theatrical gimmicks involving cardboard axes.]
-
A.
hasDirectorCameo
Indicates that the director of a work appears in a cameo role within that same work.
-
B.
usedByDirector
Indicates that something (such as a resource, tool, or method) is utilized or employed by a director in their work or activities.
-
C.
promotionGimmick
chosen
Indicates a relationship where something is used as a special tactic or device to attract attention or boost interest in a promotion.
-
D.
gimmick
Indicates that an entity uses or features a novel, attention-grabbing trick or device primarily intended to attract interest rather than provide substantive value.
-
E.
strategyDirectedBy
Indicates that the development, implementation, or oversight of a strategy is guided or controlled by a specified directing entity.
- F. None of above.
Provenance (6 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_69f224b91c14819084e764832fe67a57 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6df450014819099d118e5c2d697fa |
completed | May 3, 2026, 5:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a28c7d07d9081908f99ce33efcce2e8 |
completed | June 10, 2026, 2:11 a.m. |
| NEDg | Description generation | batch_6a28cb3aa04c8190a1000c0ad3c9f675 |
completed | June 10, 2026, 2:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a28cc7003c081908373122f59284b68 |
completed | June 10, 2026, 2:31 a.m. |
| PD | Predicate disambiguation | batch_69f6de07836481908785cde9c511920b |
completed | May 3, 2026, 5:32 a.m. |
Created at: April 29, 2026, 8:46 p.m.