Triple
T11329659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sesame Street Spaghetti Space Chase |
E268307
|
entity |
| Predicate | minimumHeightWithoutCompanion |
P8078
|
FINISHED |
| Object | 122 cm |
—
|
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: 122 cm | Statement: [Sesame Street Spaghetti Space Chase, minimumHeightWithoutCompanion, 122 cm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minimumHeightWithoutCompanion Context triple: [Sesame Street Spaghetti Space Chase, minimumHeightWithoutCompanion, 122 cm]
-
A.
minimumWidth
Indicates that there is a specified smallest allowable or required width for something in the relationship.
-
B.
heightRestriction
chosen
Indicates that there is a limit or constraint on how tall an entity is allowed or required to be in a given context.
-
C.
hasHeight
Indicates that one entity possesses a specific vertical measurement or stature.
-
D.
typicalHeight
Indicates the usual or characteristic height associated with an entity, such as a person, object, or species.
-
E.
canIncludeLowAbsoluteHeight
Indicates that the relationship or configuration allows inclusion of entities or elements whose absolute height is below a specified low threshold.
- 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.