Triple
T8749057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hood |
E207907
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Gavin Hood |
E58113
|
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: Gavin Hood | Statement: [Hood, hasNotableBearer, Gavin Hood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gavin Hood Context triple: [Hood, hasNotableBearer, Gavin Hood]
-
A.
Gavin Hood
chosen
Gavin Hood is a South African filmmaker and actor best known for directing films such as "Tsotsi," which won the Academy Award for Best Foreign Language Film, and big-budget features like "X-Men Origins: Wolverine" and "Ender's Game."
-
B.
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."
-
C.
Neill Blomkamp
Neill Blomkamp is a South African-Canadian filmmaker known for his visually distinctive, socially conscious science fiction films such as "District 9" and "Elysium."
-
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_69ca835bb2bc819084bb5906cb6ef7f8 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5da4214881908b6917f847c43cb5 |
completed | March 31, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf4313630881909b946cb8a2bdf793 |
completed | April 3, 2026, 4:33 a.m. |
Created at: March 30, 2026, 6:39 p.m.