Triple
T18821640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flight (2012 film) |
E460276
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Laurie MacDonald |
—
|
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: Laurie MacDonald | Statement: [Flight (2012 film), producer, Laurie MacDonald]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laurie MacDonald Context triple: [Flight (2012 film), producer, Laurie MacDonald]
-
A.
Laurie MacDonald
chosen
Laurie MacDonald is a prominent American film producer known for her work on major Hollywood features and impactful documentaries.
-
B.
Laurie McGregor
Laurie McGregor is the child of American actress and singer Mary Elizabeth Winstead.
-
C.
Laurie MacDermid
Laurie MacDermid is an individual notable enough to be recognized as a namesake of the surname MacDermid.
-
D.
Laurie MacKenzie
Laurie MacKenzie is a musician best known as a later-era guitarist for the Canadian rock band The Guess Who.
-
E.
Allison MacKenzie
Allison MacKenzie is a central fictional character in Grace Metalious's novel "Peyton Place," known for her coming-of-age journey amid the scandals and moral conflicts of a small New England town.
- 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a6ba90988190a93e1c2fa23b3d1d |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 10, 2026, 11:55 a.m.