Triple
T20883880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nell (1994 film) |
E514221
|
entity |
| Predicate | basedOnWorkAuthor |
P2806
|
FINISHED |
| Object | Mark Handley |
—
|
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: Mark Handley | Statement: [Nell (1994 film), basedOnWorkAuthor, Mark Handley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Handley Context triple: [Nell (1994 film), basedOnWorkAuthor, Mark Handley]
-
A.
Mark Handley
Mark Handley is a computer scientist and network researcher known for his influential work on Internet protocols and network architecture.
-
B.
Mark Handley
chosen
Mark Handley is an American playwright and screenwriter best known for co-writing the film "Nell," adapted from his stage play "Idioglossia."
-
C.
Michael Harnett
Michael Harnett is the birth name of Michael Hartnett, a prominent Irish poet known for his lyrical work in both English and Irish.
-
D.
Mark Handford
Mark Handford is a motorsport engineer best known for his work in race car aerodynamics, including a stint as technical director for the Jaguar Racing Formula One team.
-
E.
Tim Barlow
Tim Barlow is a British character actor known for his distinctive supporting roles in film and television, including a part in the comedy film "The Tall Guy."
- 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_69e0b4f733f081908a401c0b7beb0b9f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c67bd32c819097301e330e358c49 |
completed | April 21, 2026, 12:36 a.m. |
Created at: April 16, 2026, 12:46 p.m.