Triple
T5278124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Claire Dearing |
E119423
|
entity |
| Predicate | roleInJurassicWorld |
P37484
|
FINISHED |
| Object | park operations manager on Isla Nublar |
—
|
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: park operations manager on Isla Nublar | Statement: [Claire Dearing, roleInJurassicWorld, park operations manager on Isla Nublar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInJurassicWorld Context triple: [Claire Dearing, roleInJurassicWorld, park operations manager on Isla Nublar]
-
A.
roleInFilmEcosystem
Indicates the specific function or position an entity holds within the broader network of activities, stakeholders, and processes that make up the film ecosystem.
-
B.
primaryRoleInPark
chosen
Indicates the main function or responsibility an entity has within a particular park.
-
C.
roleInScene
Indicates that an entity participates in a particular scene with a specific role or function within that scene.
-
D.
roleInAttraction
Indicates the specific function or position an entity holds within the context of a particular attraction or point of interest.
-
E.
roleInExpedition
Indicates the specific function, duty, or position an entity holds within the context of a particular expedition.
- F. None of above.
Provenance (3 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_69bd446d05a8819092ad333a3f9c8d5c |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd8c9c72b08190947b6b955ac1bb5a |
completed | March 20, 2026, 6:06 p.m. |
| PD | Predicate disambiguation | batch_69bd844a56b48190ad743c42246e02dd |
completed | March 20, 2026, 5:30 p.m. |
Created at: March 20, 2026, 1:51 p.m.