Triple
T14657767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Mask of Zorro |
E344153
|
entity |
| Predicate | storyBy |
P1955
|
FINISHED |
| Object | John Eskow |
E1198929
|
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 Eskow | Statement: [The Mask of Zorro, storyBy, John Eskow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Eskow Context triple: [The Mask of Zorro, storyBy, John Eskow]
-
A.
John Eskow
chosen
John Eskow is an American screenwriter best known for co-writing the swashbuckling adventure film "The Mask of Zorro."
-
B.
Jack Holbrook
Jack Holbrook is a relatively obscure individual known primarily as a namesake associated with the surname Holbrook.
-
C.
John Henshaw
John Henshaw is a British actor known for his character roles in film and television, including a prominent part in the Ken Loach-directed film "Looking for Eric."
-
D.
Charles Horvath
Charles Horvath was an American actor and stuntman known for his rugged roles in Westerns and action films.
-
E.
Charles Leickert
Charles Leickert was a 19th-century Dutch painter renowned for his atmospheric winter landscapes and cityscapes of the Netherlands.
- 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb51b6a248190a44050c0e0ec2d16 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00077201c08190a0c3bb259856d5c9 |
completed | May 10, 2026, 4:20 a.m. |
Created at: April 10, 2026, 1:27 a.m.