Triple
T16827891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Jackson's Thriller (music video) |
E409065
|
entity |
| Predicate | closingDevice |
P125000
|
FINISHED |
| Object | Vincent Price evil laugh |
—
|
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: Vincent Price evil laugh | Statement: [Michael Jackson's Thriller (music video), closingDevice, Vincent Price evil laugh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: closingDevice Context triple: [Michael Jackson's Thriller (music video), closingDevice, Vincent Price evil laugh]
-
A.
closingMovement
Indicates a movement in which one entity reduces distance or space relative to another, bringing them closer together.
-
B.
closedDuring
Indicates that an entity is not open or available for use during a specified time period or under certain conditions.
-
C.
closingTime
Indicates the specific time at which a place, service, or activity stops operating or becomes unavailable.
-
D.
closingPosition
Indicates that an entity terminates, finalizes, or brings to an end the position or state of another entity.
-
E.
closingStimulus
Indicates that one entity serves as the stimulus or trigger that causes another entity to close or become closed.
- 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_69d88394566c8190b3dcbdc72935f7fa |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b3151350819097b1c375e6df8986 |
completed | April 18, 2026, 4:36 p.m. |
| PD | Predicate disambiguation | batch_69e32b814b188190aee525f8779203cd |
completed | April 18, 2026, 6:58 a.m. |
| PDg | Predicate description generation | batch_69e34fb7c8c8819086975b7955b7d8ef |
completed | April 18, 2026, 9:32 a.m. |
Created at: April 10, 2026, 5:23 a.m.