Triple
T6362507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Secrets & Lies |
E143144
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Jon Gregory |
E255463
|
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: Jon Gregory | Statement: [Secrets & Lies, editedBy, Jon Gregory]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jon Gregory Context triple: [Secrets & Lies, editedBy, Jon Gregory]
-
A.
Jon Gregory
chosen
Jon Gregory was a British film editor known for his work on acclaimed films such as "Four Weddings and a Funeral," "Secrets & Lies," and several collaborations with director Mike Leigh.
-
B.
Gregory Jarvis
Gregory Jarvis was an American engineer and astronaut who served as a payload specialist on the ill-fated Space Shuttle Challenger mission STS-51-L.
-
C.
Gregory Bald
Gregory Bald is a scenic grassy summit in the Great Smoky Mountains renowned for its panoramic views and spectacular flame azalea displays.
-
D.
Gregory Mann
Gregory Mann is a British actor and voice actor best known for voicing the title character in Guillermo del Toro's animated film "Pinocchio."
-
E.
David Gregory Marshall
David Gregory Marshall is an entrepreneur best known as the founder of the Marshall Group.
- 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_69c008d7a9c4819098d647ec47776917 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0680c02b481908618317566e31a5c |
completed | March 22, 2026, 10:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6386c7f68819094595d5339deae2a |
completed | March 27, 2026, 7:57 a.m. |
Created at: March 22, 2026, 4:32 p.m.