Triple
T8268099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sheldon Cooper |
E193350
|
entity |
| Predicate | favoriteNumber |
P8195
|
FINISHED |
| Object | 73 |
—
|
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: 73 | Statement: [Sheldon Cooper, favoriteNumber, 73]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: favoriteNumber Context triple: [Sheldon Cooper, favoriteNumber, 73]
-
A.
isFanFavorite
Indicates that an entity is especially popular or well-liked among fans compared to others.
-
B.
favoriteMovie
Indicates that one entity is the movie that another entity likes best among all movies.
-
C.
notableFavorite
Indicates that one entity is a particularly prominent or distinguished favorite of another entity compared to other possible favorites.
-
D.
number
chosen
Indicates that one entity is associated with a specific numerical value or count in relation to another entity or context.
-
E.
liveFavoriteOf
Indicates that one entity is the preferred or most favored choice of another in a live or real-time context.
- 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_69ca82e081d48190986beaa51f498ab9 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb794fc4208190b268bc69ff2b28a9 |
completed | March 31, 2026, 7:35 a.m. |
| PD | Predicate disambiguation | batch_69cb70a4525481909399d313a6247ace |
completed | March 31, 2026, 6:58 a.m. |
Created at: March 30, 2026, 5:50 p.m.