Triple
T4544131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iris |
E110006
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Robert Fox |
E101405
|
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 Fox | Statement: [Iris, producer, Robert Fox]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Fox Context triple: [Iris, producer, Robert Fox]
-
A.
Robert Fox
chosen
Robert Fox is a British film and theatre producer known for his work on acclaimed stage and screen productions.
-
B.
Ralph Fox
Ralph Fox was an influential American mathematician known for his foundational contributions to knot theory and low-dimensional topology.
-
C.
Robert Foxworth
Robert Foxworth is an American actor best known for his work in television dramas and films from the 1970s onward, including prominent roles in series like "Falcon Crest."
-
D.
Brian Foxe
Brian Foxe is a character in Aldous Huxley’s novel "Eyeless in Gaza," involved in the book’s exploration of memory, morality, and personal transformation.
-
E.
James Fox
James Fox is an English actor known for his distinguished career in film and television, including prominent roles in works such as "The Remains of the Day," "Performance," and "A Passage to India."
- 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_69bd4412524c8190be5bcc9ddee91848 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57d517e881909c3d23ed4453b0a7 |
completed | March 20, 2026, 2:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdb936f3348190af0784d472bff312 |
completed | March 20, 2026, 9:16 p.m. |
Created at: March 20, 2026, 1:05 p.m.