Triple
T1790804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ford v Ferrari |
E39489
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Andrew Buckland
Andrew Buckland is a film editor best known for his Academy Award-winning work on the racing drama "Ford v Ferrari."
|
E235506
|
NE FINISHED |
How this triple was built (4 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: Andrew Buckland | Statement: [Ford v Ferrari, editedBy, Andrew Buckland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrew Buckland Context triple: [Ford v Ferrari, editedBy, Andrew Buckland]
-
A.
Richard Bristow
Richard Bristow was a 16th-century English Catholic scholar and theologian who contributed to the development and annotation of the Douay–Rheims Bible.
-
B.
Daniel Butterfield
Daniel Butterfield was a Union Army general in the American Civil War, best known for composing the bugle call "Taps."
-
C.
Geoffrey Smith
Geoffrey Smith is an Australian Anglican archbishop who serves as the national leader (Primate) of the Anglican Church of Australia.
-
D.
Andrew Darwin
Andrew Darwin is an individual notable for bearing the Darwin surname, historically associated with the famous naturalist Charles Darwin.
-
E.
Richard Hiscott
Richard Hiscott is an editor known for his work on the television series "Willow."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Andrew Buckland Triple: [Ford v Ferrari, editedBy, Andrew Buckland]
Generated description
Andrew Buckland is a film editor best known for his Academy Award-winning work on the racing drama "Ford v Ferrari."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Andrew Buckland Target entity description: Andrew Buckland is a film editor best known for his Academy Award-winning work on the racing drama "Ford v Ferrari."
-
A.
Richard Bristow
Richard Bristow was a 16th-century English Catholic scholar and theologian who contributed to the development and annotation of the Douay–Rheims Bible.
-
B.
Daniel Butterfield
Daniel Butterfield was a Union Army general in the American Civil War, best known for composing the bugle call "Taps."
-
C.
Geoffrey Smith
Geoffrey Smith is an Australian Anglican archbishop who serves as the national leader (Primate) of the Anglican Church of Australia.
-
D.
Andrew Darwin
Andrew Darwin is an individual notable for bearing the Darwin surname, historically associated with the famous naturalist Charles Darwin.
-
E.
Richard Hiscott
Richard Hiscott is an editor known for his work on the television series "Willow."
- F. None of above. chosen
Provenance (5 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_69a88631854081909723959921e45c2b |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa6512804c8190a5743c10bd37f83f |
completed | March 6, 2026, 5:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae303ee60c819093a70e0e6a431c01 |
completed | March 9, 2026, 2:28 a.m. |
| NEDg | Description generation | batch_69ae3418924081909556938e4628ba08 |
completed | March 9, 2026, 2:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae3495fe348190a8dde305ba1df046 |
completed | March 9, 2026, 2:46 a.m. |
Created at: March 4, 2026, 7:32 p.m.