Triple
T32559899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Day the Laughter Died |
E832191
|
entity |
| Predicate | liveLocation |
P174595
|
FINISHED |
| Object | New York City (club setting) |
—
|
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: New York City (club setting) | Statement: [The Day the Laughter Died, liveLocation, New York City (club setting)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: liveLocation Context triple: [The Day the Laughter Died, liveLocation, New York City (club setting)]
-
A.
tracksLocation
Indicates that one entity monitors and records the geographic position or movement of another entity over time.
-
B.
locationDuringUse
Indicates the place or spatial context where an entity is situated specifically while it is being used or in active operation.
-
C.
agingLocation
Indicates the place where an entity undergoes an aging process or is stored to age over time.
-
D.
locationServices
Indicates that one entity provides, enables, or manages geographic positioning or place-related functionalities for another entity.
-
E.
coordinateLocation
Indicates that an entity is located at, or associated with, a specific geographic coordinate or set of coordinates.
- 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_69f34926b9848190ace47d2dd0a0de7c |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c6059f6481908d3e3ad74e5fca4d |
completed | May 3, 2026, 3:50 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2a14b081908162923dfbf0a6f4 |
completed | May 3, 2026, 3:12 a.m. |
| PDg | Predicate description generation | batch_69f6c1b666188190ac43c3011a7df048 |
completed | May 3, 2026, 3:32 a.m. |
Created at: May 1, 2026, 1:03 a.m.