Triple
T15533688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All Is Lost |
E370286
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Neal Dodson |
E188864
|
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: Neal Dodson | Statement: [All Is Lost, producer, Neal Dodson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neal Dodson Context triple: [All Is Lost, producer, Neal Dodson]
-
A.
Neal Dodson
chosen
Neal Dodson is an American film producer known for his work on acclaimed independent and genre films, frequently collaborating with director J.C. Chandor.
-
B.
Dan Dodson
Dan Dodson is an individual whose specific public role or notability is unclear from the given information.
-
C.
Brian Dodson
Brian Dodson is a professional in his field whose work or identity is associated with the name or term "Dodson."
-
D.
Michael Dodson
Michael Dodson is a British mathematician known for his contributions to number theory and Diophantine approximation.
-
E.
Richard Dodson
Richard Dodson is a New Zealand sailor best known for winning a gold medal in the Soling class at the 1996 Atlanta Olympics and later competing as a Paralympic sailor after being diagnosed with multiple sclerosis.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e0414877d88190804ee76566004e13 |
completed | April 16, 2026, 1:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01232399008190b23dfaec237563ef |
completed | May 11, 2026, 12:30 a.m. |
Created at: April 10, 2026, 4:06 a.m.