Triple
T11329673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sesame Street Spaghetti Space Chase |
E268307
|
entity |
| Predicate | usesSetPieces |
P37148
|
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, usesSetPieces, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesSetPieces Context triple: [Sesame Street Spaghetti Space Chase, usesSetPieces, true]
-
A.
hasSetPiece
chosen
Indicates that an event, scene, or work includes a distinct, often elaborate set piece as a notable component.
-
B.
usesPieceType
Indicates that one entity employs or operates using a specific type or category of piece as part of its function or activity.
-
C.
setsIn
Indicates that one entity places or positions another entity into or within a specified container, location, or context.
-
D.
numberOfPieces
Indicates the quantity of discrete parts or units into which something is divided or composed.
-
E.
hasCompanionPiece
Indicates that one item is conceptually or functionally paired with another item as its companion piece.
- 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_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. |
Created at: April 8, 2026, 9:32 p.m.