Triple
T12768195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romeo & Juliet (2013 film) |
E305178
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | David Tattersall |
E212900
|
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 Tattersall | Statement: [Romeo & Juliet (2013 film), cinematographyBy, David Tattersall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Tattersall Context triple: [Romeo & Juliet (2013 film), cinematographyBy, David Tattersall]
-
A.
David Tattersall
chosen
David Tattersall is a British cinematographer known for his work on major films including entries in the Star Wars prequel trilogy.
-
B.
Richard Hiscott
Richard Hiscott is an editor known for his work on the television series "Willow."
-
C.
Stephen Fitzpatrick
Stephen Fitzpatrick is a British entrepreneur best known as the founder and CEO of the UK-based energy supplier OVO Energy.
-
D.
Mark Bignell
Mark Bignell is a British charity worker and chief executive of the addiction-focused charity Hamoaze House, known publicly as the husband of comedian and actress Dawn French.
-
E.
David Bretherton
David Bretherton was an American film editor known for his work on numerous Hollywood productions, including the musical comedy "The Best Little Whorehouse in Texas."
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96df3b2f88190b37b696400178795 |
completed | April 10, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684f750a08190abf6122baa579bc4 |
completed | May 2, 2026, 11:12 p.m. |
Created at: April 9, 2026, 5:28 p.m.