Triple
T28127123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avengers Campus (Walt Disney Studios Park) |
E710957
|
entity |
| Predicate | hasCharacterEncounter |
P134166
|
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 (Walt Disney Studios Park), hasCharacterEncounter, Spider-Man]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCharacterEncounter Context triple: [Avengers Campus (Walt Disney Studios Park), hasCharacterEncounter, Spider-Man]
-
A.
encountersCharacter
Indicates that one character comes into contact with or meets another character, typically within a particular situation or context.
-
B.
hasEncounter
chosen
Indicates that one entity experiences or comes into contact with another entity or event, typically in a specific context or situation.
-
C.
hasNotableTribeAtEncounter
Indicates that, at the time of the encounter, the entity was associated with or identified as belonging to a notable tribe.
-
D.
hasNPC
Indicates that an entity includes, is associated with, or contains a non-player character (NPC) within its context or structure.
-
E.
hasCreature
Indicates that one entity possesses, contains, or is associated with a particular creature.
- 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_69ef9b73bd288190a21ae3d6aa14f386 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f7308a096081909d66a56f3c926806 |
completed | May 3, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69f72a00c5f081908b6539d15baf4e12 |
completed | May 3, 2026, 10:57 a.m. |
Created at: April 27, 2026, 9:20 p.m.