Triple
T9341767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greig Fraser |
E224778
|
entity |
| Predicate | notableCollaboration |
P8554
|
FINISHED |
| Object | Garth Davis |
E62608
|
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: Garth Davis | Statement: [Greig Fraser, notableCollaboration, Garth Davis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Garth Davis Context triple: [Greig Fraser, notableCollaboration, Garth Davis]
-
A.
Garth Davis
chosen
Garth Davis is an Australian film and television director best known for his critically acclaimed feature "Lion" and work on the series "Top of the Lake."
-
B.
Justin Kurzel
Justin Kurzel is an Australian film director known for his visually striking and often dark adaptations, including the 2015 film "Macbeth" and the true-crime drama "Snowtown."
-
C.
Sacha Gervasi
Sacha Gervasi is a British screenwriter and director known for films such as "The Terminal" and the documentary "Anvil! The Story of Anvil."
-
D.
Gareth Edwards
Gareth Edwards is a Welsh former rugby union scrum-half widely regarded as one of the greatest rugby players of all time.
-
E.
Gareth Edwards
Gareth Edwards is a British filmmaker known for directing large-scale science fiction and monster films such as "Monsters," "Godzilla" (2014), and "Rogue One: A Star Wars Story."
- 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_69ca842993248190a79ab06968994b86 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4bafa9108190889397614756020d |
completed | April 1, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d100c7f3748190bfa4c3a4df8c5d42 |
completed | April 4, 2026, 12:15 p.m. |
Created at: March 30, 2026, 7:40 p.m.