Triple
T28172541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avengers Campus at Disney California Adventure |
E715498
|
entity |
| Predicate | featuresCharacterEncountersWith |
P84701
|
FINISHED |
| Object | Spider-Man |
—
|
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: Spider-Man | Statement: [Avengers Campus at Disney California Adventure, featuresCharacterEncountersWith, Spider-Man]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresCharacterEncountersWith Context triple: [Avengers Campus at Disney California Adventure, featuresCharacterEncountersWith, Spider-Man]
-
A.
encountersCharacter
chosen
Indicates that one character comes into contact with or meets another character, typically within a particular situation or context.
-
B.
featuresCharacterRescue
Indicates that a work includes a scene or storyline in which one character rescues or saves another.
-
C.
encountersSpecies
Indicates that one entity comes into contact with or meets a particular species.
-
D.
featuresReturningCharacterFrom
Indicates that a work includes the reappearance of a character who previously appeared in the referenced source work.
-
E.
featuresCharacterWith
Indicates that one entity (such as a work or product) includes or presents a particular character as part of its content.
- 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_69efd6b340f0819095680e15dcdc1830 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69fe21b0cba48190b56c39e9f1c0eafa |
completed | May 8, 2026, 5:47 p.m. |
| PD | Predicate disambiguation | batch_69fe204576848190aecf204e2adba5dc |
completed | May 8, 2026, 5:41 p.m. |
Created at: April 27, 2026, 10:13 p.m.