Triple
T14178907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Pan’s Flight |
E351401
|
entity |
| Predicate | usesTechnology |
P1485
|
FINISHED |
| Object | Audio-Animatronics |
E326094
|
NE 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: Audio-Animatronics | Statement: [Peter Pan’s Flight, usesTechnology, Audio-Animatronics]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Audio-Animatronics Context triple: [Peter Pan’s Flight, usesTechnology, Audio-Animatronics]
-
A.
Audio-Animatronics
chosen
Audio-Animatronics are lifelike, programmable robotic figures developed by Disney to simulate realistic character movements and performances in themed attractions.
-
B.
Vaucanson
Vaucanson is a tram terminus and transport hub in the city of Tours, France.
-
C.
Sideshow
"Sideshow" is a song by the musical duo Wendy & Lisa, known for their innovative blend of pop, rock, and funk following their work with Prince and The Revolution.
-
D.
Toymaker
The Toymaker is the primary antagonist in the film "Spy Kids 3-D: Game Over," a villainous game designer who traps players inside his virtual reality world.
-
E.
Ameca
Ameca is a city in the Mexican state of Jalisco known as an agricultural and commercial center in the Ameca Valley region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61c90abc8190a9b9dc1f50db59fa |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf80f03a48190a5374fb6374255a8 |
completed | May 7, 2026, 8:37 p.m. |
Created at: April 10, 2026, 1:02 a.m.