Triple
T10554974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seidler |
E249054
|
entity |
| Predicate | notableBearer |
P458
|
FINISHED |
| Object | David Seidler |
E49718
|
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: David Seidler | Statement: [Seidler, notableBearer, David Seidler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Seidler Context triple: [Seidler, notableBearer, David Seidler]
-
A.
David Seidler
chosen
David Seidler is a British-American screenwriter best known for writing the Academy Award-winning screenplay for the historical drama film "The King’s Speech."
-
B.
David Cromer
David Cromer is an American director and actor known for his acclaimed work in theater, including innovative stage productions and performances on and off Broadway.
-
C.
Martin Boddey
Martin Boddey was a British character actor known for his frequent supporting roles in mid-20th-century films and television, often portraying authority figures such as policemen and officials.
-
D.
David Isaacs
David Isaacs is an American television producer and entrepreneur best known as a co-founder of the Ultimate Fighting Championship (UFC).
-
E.
Ben Seresin
Ben Seresin is a New Zealand-born cinematographer known for his work on large-scale action and blockbuster films such as Godzilla vs. Kong, World War Z, and Transformers: Revenge of the Fallen.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d527118da081909ca61bc555a17609 |
completed | April 7, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9346f6a38819087647e7a09f40c41 |
completed | April 10, 2026, 5:33 p.m. |
Created at: April 6, 2026, 12:34 p.m.