Triple
T1787926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Oyelowo |
E39429
|
entity |
| Predicate | produced |
P490
|
FINISHED |
| Object | Nightingale |
E199120
|
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: Nightingale | Statement: [David Oyelowo, produced, Nightingale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nightingale Context triple: [David Oyelowo, produced, Nightingale]
-
A.
Nightingale
Nightingale is the surname of Florence Nightingale, the pioneering 19th-century nurse and social reformer widely regarded as the founder of modern nursing.
-
B.
Nightingale
chosen
Nightingale is a 2014 psychological drama film featuring David Oyelowo in an intense, largely single-character performance as a mentally unstable war veteran.
-
C.
Maud
Maud is a feminine given name of Germanic origin, historically borne by European royalty and nobility.
-
D.
Sylvia
Sylvia is a feminine given name of Latin origin meaning "from the forest" or "of the woods."
-
E.
The Nightingale's Prayer
The Nightingale's Prayer is a 1959 Egyptian drama film, based on a novel by Taha Hussein, renowned for its powerful social critique and for featuring one of Faten Hamama’s most acclaimed performances.
- 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_69a88631854081909723959921e45c2b |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa650fd3448190a6a2c979db982cae |
completed | March 6, 2026, 5:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adb5ce137481909fde04dfa2d6a45a |
completed | March 8, 2026, 5:45 p.m. |
Created at: March 4, 2026, 7:32 p.m.