Triple
T12860320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Your Honor |
E307567
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Robert King |
E781254
|
NE 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: Robert King | Statement: [Your Honor, executiveProducer, Robert King]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert King Context triple: [Your Honor, executiveProducer, Robert King]
-
A.
Robert King
chosen
Robert King is an American television writer and producer best known for co-creating the acclaimed legal and political drama series "The Good Wife."
-
B.
John King
John King is an artist and notable graduate of Hornsey College of Art, recognized for his contributions to the visual arts.
-
C.
John King
John King was an American statesman who represented South Carolina as a delegate in the Continental Congress during the Revolutionary era.
-
D.
Mark King
Mark King is a musician best known as the lead vocalist and bassist of the British jazz-funk band Level 42.
-
E.
Mark King
Mark King is an actor known for appearing in the film "Caveman."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d7bdf5e7cc8190be357278bc5ba3bb |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9708ba74881909b16c1e2ef5115db |
completed | April 10, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69bac0c1081909217d865aa8bf9a3 |
completed | May 3, 2026, 12:49 a.m. |
Created at: April 9, 2026, 5:37 p.m.