Triple
T23092379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omar Metwally |
E575792
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Miral |
—
|
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: Miral | Statement: [Omar Metwally, notableWork, Miral]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miral Context triple: [Omar Metwally, notableWork, Miral]
-
A.
Miral
chosen
Miral is a 2010 drama film directed by Julian Schnabel that follows a young Palestinian woman growing up amid the Israeli–Palestinian conflict.
-
B.
Miral
Miral is an Abu Dhabi–based developer and operator of major leisure and entertainment destinations, including theme parks and attractions on Yas Island.
-
C.
Miral Paris
Miral Paris is the half-human, half-Klingon daughter of Tom Paris and B'Elanna Torres in the Star Trek: Voyager universe.
-
D.
Malaika
"Malaika" is a famous Swahili love song popularized internationally by South African singer and activist Miriam Makeba.
-
E.
Mirabehn
Mirabehn, born Madeleine Slade, was a British-born follower of Mahatma Gandhi who became a prominent disciple and advocate of his principles of nonviolence and rural self-sufficiency in India.
- 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_69e245bf3e3c819086d3448720efc01b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18dab3798819081b2b46a20751b2a |
completed | April 29, 2026, 4:48 a.m. |
Created at: April 17, 2026, 3:57 p.m.