Triple
T13101482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pixar Place Hotel |
E310728
|
entity |
| Predicate | hasExperiencesInspiredBy |
P41791
|
FINISHED |
| Object | Pixar characters |
—
|
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: Pixar characters | Statement: [Pixar Place Hotel, hasExperiencesInspiredBy, Pixar characters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExperiencesInspiredBy Context triple: [Pixar Place Hotel, hasExperiencesInspiredBy, Pixar characters]
-
A.
hasInspired
Indicates that one entity has served as a source of motivation, creativity, or influence leading to ideas, actions, or works in another entity.
-
B.
hasInspirationSource
chosen
Indicates that something derives its creative motivation, ideas, or influence from a particular source.
-
C.
providesExperienceOf
Indicates that one entity enables or delivers the experience of another entity to someone or something.
-
D.
experiences
Indicates that an entity undergoes, feels, or is affected by a particular event, state, or condition.
-
E.
wereInfluencedBy
Indicates that one entity’s ideas, actions, or characteristics were shaped or affected by another entity.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d981515d488190908d3cca1b84a42d |
completed | April 10, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69d98041a3548190a05ddd83dbb660fa |
completed | April 10, 2026, 10:57 p.m. |
Created at: April 9, 2026, 9:04 p.m.