Triple
T6492346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Lofaro |
E148070
|
entity |
| Predicate | typeOfProducer |
P2475
|
FINISHED |
| Object | television executive producer |
—
|
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: television executive producer | Statement: [Tom Lofaro, typeOfProducer, television executive producer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfProducer Context triple: [Tom Lofaro, typeOfProducer, television executive producer]
-
A.
componentTypeProduced
Indicates that one entity produces or manufactures a specific type of component as an output of its activity or process.
-
B.
producerOfWork
Indicates that one entity is the creator or originator responsible for producing a particular work.
-
C.
typicalProductionType
chosen
Indicates the usual or characteristic type of production activity associated with an entity.
-
D.
primaryProducer
Indicates that an entity produces a good, service, or resource as the initial source in a supply, economic, or ecological chain.
-
E.
manufacturedBy
Indicates that an item or product is produced or created by a specific manufacturer or maker.
- 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_69c009088f3081909cd467b05919de30 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a9bf9208190b0957eda06ed3d65 |
completed | March 22, 2026, 10:18 p.m. |
| PD | Predicate disambiguation | batch_69c06740bebc81909d9d6956baa2bcb9 |
completed | March 22, 2026, 10:03 p.m. |
Created at: March 22, 2026, 4:53 p.m.