Triple
T9039296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cautious Man |
E216578
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Jon Landau |
E220401
|
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: Jon Landau | Statement: [Cautious Man, producer, Jon Landau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jon Landau Context triple: [Cautious Man, producer, Jon Landau]
-
A.
Jon Landau
Jon Landau is an American music critic and record producer best known for his long-time collaboration with Bruce Springsteen and influential role in shaping Springsteen’s career and sound.
-
B.
Jon Landau
chosen
Jon Landau is an American film producer best known for his longtime collaboration with James Cameron on blockbuster films such as Titanic and Avatar.
-
C.
Kyle Labine
Kyle Labine is a Canadian actor known for his work in film and television and as the brother of fellow actor Tyler Labine.
-
D.
Iain De Caestecker
Iain De Caestecker is a Scottish actor best known for his role as Leo Fitz in the Marvel television series "Agents of S.H.I.E.L.D."
-
E.
Michael Kube-McDowell
Michael Kube-McDowell is an American science fiction author known for his novels, short stories, and contributions to major franchises such as Star Wars.
- 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_69ca83d22d488190adbce5e020e9cd1d |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6ac46f4881909882403bb81db152 |
completed | April 1, 2026, 12:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d190b5bb70819082b8eeb18bd5f1f6 |
completed | April 4, 2026, 10:29 p.m. |
Created at: March 30, 2026, 7:09 p.m.