Triple
T15312006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gold (2016 film) |
E366059
|
entity |
| Predicate | storyBy |
P1955
|
FINISHED |
| Object | John Zinman |
E1167265
|
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: John Zinman | Statement: [Gold (2016 film), storyBy, John Zinman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Zinman Context triple: [Gold (2016 film), storyBy, John Zinman]
-
A.
John Zinman
John Zinman is a film and television screenwriter best known for co-writing the action-adventure movie "Lara Croft: Tomb Raider."
-
B.
John Zinman
chosen
John Zinman is an American screenwriter and producer known for his work on film and television projects such as the drama film "Gold" (2016).
-
C.
Edward Zorinsky
Edward Zorinsky was a U.S. Senator from Nebraska and former mayor of Omaha known for his moderate Democratic politics and service in the late 20th century.
-
D.
Don Zimmerman
Don Zimmerman is a film editor known for his work on major Hollywood movies, including the family adventure-comedy "Night at the Museum."
-
E.
Jonathan Zalben
Jonathan Zalben is a film and television composer known for scoring a variety of independent features and documentaries.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03cd2d5a88190aead748920f93d47 |
completed | April 16, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6ec2f35c8190a96af080cd7b6d0e |
completed | May 9, 2026, 5:28 p.m. |
Created at: April 10, 2026, 3:16 a.m.