Triple
T17211912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Natascha McElhone |
E417750
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Ronin |
E207317
|
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: Ronin | Statement: [Natascha McElhone, notableWork, Ronin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ronin Context triple: [Natascha McElhone, notableWork, Ronin]
-
A.
Ronin
chosen
Ronin is a 1998 action thriller film directed by John Frankenheimer, best known for its intricate espionage plot and realistic, high-intensity car chases set in France.
-
B.
Shindo
Shindo is a human character in the film "Godzilla vs. King Ghidorah," portrayed as a powerful Japanese businessman with a past connection to Godzilla.
-
C.
Samurai
Samurai is a spinning thrill ride at Thorpe Park in the UK known for its intense, disorienting inversions and high-speed rotations.
-
D.
Tenchō
Tenchō was a Japanese era name (nengō) of the early Heian period, used during the reign of Emperor Junna.
-
E.
47 Ronin
47 Ronin is a 2013 fantasy action film loosely inspired by the Japanese legend of the forty-seven rōnin, blending samurai drama with supernatural elements.
- 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42dc68a2c81908564231853b40db9 |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01674fadc48190aa4a627ec9f72341 |
completed | May 11, 2026, 5:21 a.m. |
Created at: April 10, 2026, 5:38 a.m.