Triple
T19521107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dora and the Lost City of Gold |
E488402
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | James Bobin |
—
|
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: James Bobin | Statement: [Dora and the Lost City of Gold, director, James Bobin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Bobin Context triple: [Dora and the Lost City of Gold, director, James Bobin]
-
A.
James Bobin
chosen
James Bobin is a British film and television director best known for his work on comedy projects like "Flight of the Conchords" and feature films including "The Muppets" and various big-budget studio productions.
-
B.
David Franco
David Franco is a cinematographer known for his work on the film "Boycott."
-
C.
Xavier Beauvois
Xavier Beauvois is a French film director, screenwriter, and actor best known for his critically acclaimed drama "Of Gods and Men."
-
D.
Julian Barratt
Julian Barratt is an English comedian, actor, musician, and writer best known as one half of the surreal comedy duo behind The Mighty Boosh.
-
E.
Joseph Eisenberg
Joseph Eisenberg is an American physician and epidemiologist known for his research on infectious disease transmission and environmental health.
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e635a0b37c8190b70b7427c2e85f59 |
completed | April 20, 2026, 2:18 p.m. |
Created at: April 10, 2026, 1:40 p.m.