Triple
T23562558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Moore |
E579281
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Robert Moore |
—
|
NE NERFINISHED |
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 Moore | Statement: [Robert Moore, name, Robert Moore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Moore Context triple: [Robert Moore, name, Robert Moore]
-
A.
Robert Moore
chosen
Robert Moore was an American theater and film director best known for his work on Broadway comedies and collaborations with playwright Neil Simon.
-
B.
Robert Moore
Robert Moore is a British journalist and author best known for his investigative work on the Russian submarine disaster chronicled in his book about the Kursk.
-
C.
Richard Moore
Richard Moore was an early 17th-century English colonial administrator who became the inaugural governor of Bermuda, helping to establish the island’s first formal government.
-
D.
Richard Moore
Richard Moore was an American cinematographer known for his work on feature films in the 1960s and 1970s and as a co-founder of Panavision.
-
E.
Louis Moore
Louis Moore is a fictional character appearing in the 1977 American film "Shirley."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245fe24588190888f3aec8407d8e3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1af68cddc8190ab9d0b7ee1f157ed |
completed | April 29, 2026, 7:12 a.m. |
Created at: April 17, 2026, 6:25 p.m.