Triple
T13831643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elementary |
E332411
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Robert Doherty |
E1146912
|
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 Doherty | Statement: [Elementary, executiveProducer, Robert Doherty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Doherty Context triple: [Elementary, executiveProducer, Robert Doherty]
-
A.
Robert Doherty
chosen
Robert Doherty is an American television writer and producer best known for developing the modern Sherlock Holmes series "Elementary."
-
B.
John Doherty
John Doherty is known as the husband of American actress Michael Learned, famed for her role as Olivia Walton on the television series "The Waltons."
-
C.
Tony Geraghty
Tony Geraghty was a member of the popular Irish cabaret group the Miami Showband who was killed in the notorious 1975 loyalist paramilitary attack in Northern Ireland.
-
D.
Philip Keenan
Philip Keenan was an American astronomer best known for co-developing the Morgan–Keenan (MK) stellar classification system that remains a standard in astrophysics.
-
E.
Tom Doherty
Tom Doherty is an American publisher best known as the founder of the science fiction and fantasy imprint Tor Books.
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0299334481908c2b271eaf06e4b7 |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef5c11708190a7fd4c0682b6ed81 |
completed | May 9, 2026, 8:25 a.m. |
Created at: April 9, 2026, 10:13 p.m.