Triple
T18147506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexandria Zahra Jones |
E434425
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Duncan Jones |
—
|
NE NERFINISHED |
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: Duncan Jones | Statement: [Alexandria Zahra Jones, sibling, Duncan Jones]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Duncan Jones Context triple: [Alexandria Zahra Jones, sibling, Duncan Jones]
-
A.
Duncan Jones
chosen
Duncan Jones is a British film director and screenwriter best known for his science fiction films such as "Moon" and "Source Code," as well as the fantasy epic "Warcraft."
-
B.
Alex Proyas
Alex Proyas is an Egyptian-born Australian film director known for visually stylized, genre-bending movies such as "The Crow" and "Dark City."
-
C.
Joseph Kosinski
Joseph Kosinski is an American film director known for visually striking, effects-driven blockbusters such as Tron: Legacy, Oblivion, and Top Gun: Maverick.
-
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 (2 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de34bb608190a4842e86f2912dec |
completed | April 19, 2026, 1:52 p.m. |
Created at: April 10, 2026, 10:29 a.m.