Triple
T13273933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Big Clock |
E316137
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Robert Fellows |
E300539
|
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 Fellows | Statement: [The Big Clock, producer, Robert Fellows]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Fellows Context triple: [The Big Clock, producer, Robert Fellows]
-
A.
Robert Fellows
chosen
Robert Fellows was an American film producer active during Hollywood's mid-20th century studio era, known for his work on numerous genre and adventure films.
-
B.
Robert Fell
Robert Fell was a 17th-century English academic who served as Dean of Christ Church, Oxford, and Vice-Chancellor of the University of Oxford.
-
C.
William Fagan
William Fagan is a relatively obscure individual whose name is notably recorded as a bearer of the surname Fagan.
-
D.
Leo Farley
Leo Farley is a central character in the crime drama series "Under Suspicion," involved in the show's intricate investigations and moral ambiguities.
-
E.
William Froug
William Froug was an American television producer, writer, and educator best known for his work on classic series such as The Twilight Zone.
- 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9904193bc8190af4155750bcf32f6 |
completed | April 11, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8c288c08190af46fe7d114df338 |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 9:26 p.m.