Triple
T26503829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elmo |
E669491
|
entity |
| Predicate | hasToyVersion |
P18107
|
FINISHED |
| Object | Tickle Me Elmo |
—
|
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: Tickle Me Elmo | Statement: [Elmo, hasToyVersion, Tickle Me Elmo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasToyVersion Context triple: [Elmo, hasToyVersion, Tickle Me Elmo]
-
A.
hasVersionIn
Indicates that one entity exists as a specific version or variant within the context, format, or system represented by another entity.
-
B.
hasInstrumentVersion
Indicates that an entity is associated with a specific version or variant of an instrument used in its creation, performance, or measurement.
-
C.
hasSpecialVersion
chosen
Indicates that an entity possesses or is associated with a distinct or customized version of another entity, differing from the standard or default form.
-
D.
hasVersionNumber
Indicates that an entity is associated with a specific version identifier or number.
-
E.
hasStudioVersion
Indicates that an entity has a specific studio-produced version of a work or recording.
- 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_69eeb319ec70819090834c2591cf5f1e |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f68f670b608190a0b6ab60d722b4e0 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f68b78f29481908cc8f390496dee97 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 27, 2026, 1:15 a.m.