Triple
T23442694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Roberts as Linda Belcher |
E565444
|
entity |
| Predicate | characterFavoriteActivity |
P150988
|
FINISHED |
| Object | singing |
—
|
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: singing | Statement: [John Roberts as Linda Belcher, characterFavoriteActivity, singing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterFavoriteActivity Context triple: [John Roberts as Linda Belcher, characterFavoriteActivity, singing]
-
A.
activityType
Indicates the specific kind or category of action or event that an entity is engaged in or associated with.
-
B.
favoriteHobby
chosen
Indicates that one entity has another entity as the hobby they enjoy doing the most.
-
C.
typicalActivity
Indicates that an entity is commonly or characteristically engaged in a particular activity.
-
D.
activityCorrelatesWith
Indicates that the level or occurrence of one activity is statistically associated with the level or occurrence of another activity, without implying direct causation.
-
E.
notableActivityIn
Indicates that an entity is particularly recognized for performing a significant activity within a specified place, context, or domain.
- 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_69e24584f9488190bb32730bd2ce023e |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a64654e88190b530958b27b32412 |
completed | April 29, 2026, 6:33 a.m. |
| PD | Predicate disambiguation | batch_69f061f92da081908e7f1d0cd1e9b01c |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 5:51 p.m.