Triple
T11036966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doctor Who: The Movie |
E260910
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | Geoffrey Sax |
E565479
|
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: Geoffrey Sax | Statement: [Doctor Who: The Movie, director, Geoffrey Sax]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geoffrey Sax Context triple: [Doctor Who: The Movie, director, Geoffrey Sax]
-
A.
Geoffrey Sax
chosen
Geoffrey Sax is a British film and television director known for his work on dramas and genre series, including projects like the U.S. adaptation of "Getting On."
-
B.
Daniel Massey
Daniel Massey was a British actor known for his work in film, television, and theatre, and for being part of the prominent Massey acting family.
-
C.
Martin Lancaster
Martin Lancaster is a video game writer best known for his work on major titles such as Batman: Arkham Knight.
-
D.
John Leighton
John Leighton was a prominent 19th-century British artist and book cover designer known for his influential contributions to Victorian decorative arts and illustration.
-
E.
Ray Sidney
Ray Sidney is an American software engineer and early Google employee who later became known as a philanthropist and real estate investor.
- 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_69d6aa979bdc8190bf0e79104cc098c1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797e9e3fc8190802195ac9fcb8e28 |
completed | April 9, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3e73e7f68819097213e4601c07ee8 |
completed | April 18, 2026, 8:19 p.m. |
Created at: April 8, 2026, 9:25 p.m.