Triple
T8401614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Gossett |
E198384
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Robert Gossett |
E198384
|
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 Gossett | Statement: [Robert Gossett, name, Robert Gossett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Gossett Context triple: [Robert Gossett, name, Robert Gossett]
-
A.
Robert Gossett
chosen
Robert Gossett is an American actor best known for his role as Commander Russell Taylor on the television crime drama series "The Closer."
-
B.
Paul Gilpin
Paul Gilpin is a cinematographer best known for his work on the adventure film "Tarzan and the Lost City."
-
C.
George Holbrook
George Holbrook was an American clockmaker and bell founder known for producing church bells and tower clocks in the 19th century.
-
D.
Godfrey Dewey
Godfrey Dewey was an American organizer and winter sports advocate best known for directing the planning and execution of the 1932 Winter Olympics in Lake Placid, New York.
-
E.
Warren Sharples
Warren Sharples is a musician known for being a member of the new wave band Tom Tom Club.
- 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_69ca8310df9c8190b25f16161cca3e41 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb824da3148190bfa3a1abfdfa02de |
completed | March 31, 2026, 8:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce3973369481909392e8f9c4d6d447 |
completed | April 2, 2026, 9:40 a.m. |
Created at: March 30, 2026, 6:04 p.m.