Triple
T2658477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Beach |
E54669
|
entity |
| Predicate | authorOfSourceWork |
P2353
|
FINISHED |
| Object | Alex Garland |
E77475
|
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: Alex Garland | Statement: [The Beach, authorOfSourceWork, Alex Garland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alex Garland Context triple: [The Beach, authorOfSourceWork, Alex Garland]
-
A.
Alex Garland
chosen
Alex Garland is a British novelist, screenwriter, and filmmaker known for works like "The Beach," "Ex Machina," and "Annihilation," often exploring psychological and science fiction themes.
-
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.
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."
-
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.
Gabriel Mann
Gabriel Mann is an American composer and musician best known for scoring television series such as "Modern Family" and "A Million Little Things."
- 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_69ab49e028948190b97e01d73548b1d9 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd94dcaa48190aec625f68ce61a02 |
completed | March 7, 2026, 7:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af98d535388190979a549dc2ce5f2f |
completed | March 10, 2026, 4:06 a.m. |
Created at: March 6, 2026, 9:53 p.m.