Triple
T35647065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Gunslinger (Westworld 1973 film) |
E1030039
|
entity |
| Predicate | functionInPark |
P184065
|
FINISHED |
| Object | entertainment for guests |
—
|
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: entertainment for guests | Statement: [The Gunslinger (Westworld 1973 film), functionInPark, entertainment for guests]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: functionInPark Context triple: [The Gunslinger (Westworld 1973 film), functionInPark, entertainment for guests]
-
A.
inPark
Indicates that one entity is located within or inside the boundaries of a park.
-
B.
cityParkOf
Indicates that one entity is a city park that is located within or belongs to a particular city.
-
C.
firstInPark
Indicates that one entity is the earliest or first to arrive, appear, or be present in a specified park relative to other entities.
-
D.
locatedInParkVicinity
Indicates that an entity is situated in the area immediately surrounding or near a park.
-
E.
functionInBuilding
Indicates that a specific function, role, or use is carried out within a particular building.
- 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_69f76e0938088190a8f199631e97dec3 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aaabb58c8190bf81673608ecfb6e |
completed | May 3, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69f7a8cec6d48190bebfa884b2f938c0 |
completed | May 3, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f7aa6795f481908940838ee7041ff5 |
completed | May 3, 2026, 8:04 p.m. |
Created at: May 3, 2026, 4:05 p.m.