Triple
T10254872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mortal Engines (2018 film) |
E240435
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Leila George |
E243982
|
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: Leila George | Statement: [Mortal Engines (2018 film), castMember, Leila George]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leila George Context triple: [Mortal Engines (2018 film), castMember, Leila George]
-
A.
Leila George
chosen
Leila George is an Australian-American actress known for roles in films like "Mortal Engines" and for being the daughter of actor Vincent D'Onofrio and actress Greta Scacchi.
-
B.
Leila Smith
Leila Smith is a film producer known for her work on the science fiction action movie "Lockout."
-
C.
Renée Asherson
Renée Asherson was a British stage and film actress known for her delicate, expressive performances in mid-20th-century British cinema and theatre.
-
D.
Tania Raymonde
Tania Raymonde is an American actress best known for her roles in the television series Lost and the legal drama Goliath.
-
E.
Renée Lees
Renée Lees was the wife of prominent British philosopher A. J. Ayer.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d24b9a308190bba6d8e3e22e5ee0 |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f7cec62c819083e493e0fc7c65b5 |
completed | April 9, 2026, 12:50 a.m. |
Created at: April 6, 2026, 11:30 a.m.