Triple
T11329672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sesame Street Spaghetti Space Chase |
E268307
|
entity |
| Predicate | usesAnimatronics |
P98532
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Sesame Street Spaghetti Space Chase, usesAnimatronics, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesAnimatronics Context triple: [Sesame Street Spaghetti Space Chase, usesAnimatronics, true]
-
A.
hasAnimatronicCharacter
Indicates that an entity features, includes, or is associated with an animatronic character.
-
B.
hasAnimatedFigures
Indicates that something contains or features figures that are animated or capable of motion.
-
C.
mecha
Indicates a relationship where an entity is a mechanical robot or piloted machine, typically used as a vehicle, weapon, or tool in a technological or sci‑fi context.
-
D.
hasExoskeleton
Indicates that an entity possesses an external supportive or protective skeletal structure covering its body.
-
E.
isAnthropomorphic
Indicates that something non-human is given human-like characteristics, form, or behavior.
- F. None of above. chosen
Provenance (4 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9e330008190b75490efde01dc59 |
completed | April 9, 2026, 6:03 p.m. |
| PD | Predicate disambiguation | batch_69d787afe5a48190b8af1a3e19529641 |
completed | April 9, 2026, 11:04 a.m. |
| PDg | Predicate description generation | batch_69d796d049e88190a9fd7508f477f541 |
completed | April 9, 2026, 12:08 p.m. |
Created at: April 8, 2026, 9:32 p.m.