Triple
T19983003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iris (2001 film) |
E493863
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Robert Fox |
—
|
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 Fox | Statement: [Iris (2001 film), producer, Robert Fox]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Fox Context triple: [Iris (2001 film), 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.
Robert Fox
Robert Fox is an American architect known for his innovative, sustainable high-rise designs and co-founding the prominent firm Fox & Fowle Architects.
-
C.
Robert Fox
Robert Fox is an author best known for writing the work titled "The Breath of Life."
-
D.
Ralph Fox
Ralph Fox was an influential American mathematician known for his foundational contributions to knot theory and low-dimensional topology.
-
E.
Roger Fox
Roger Fox is the bumbling, overconfident father and husband in the "Foxtrot" comic strip, known for his nerdy interests, questionable schemes, and frequent comedic mishaps.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65d14c3c08190b1ba8f4da08a4ccf |
completed | April 20, 2026, 5:06 p.m. |
Created at: April 11, 2026, 3:28 p.m.