Triple
T3907212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ellison |
E87230
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Megan Ellison |
E318087
|
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: Megan Ellison | Statement: [Ellison, hasNotableBearer, Megan Ellison]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Megan Ellison Context triple: [Ellison, hasNotableBearer, Megan Ellison]
-
A.
Megan Ellison
chosen
Megan Ellison is an American film producer and founder of Annapurna Pictures, known for backing acclaimed independent and auteur-driven films such as "Her," "Zero Dark Thirty," and "American Hustle."
-
B.
Nina Jacobson
Nina Jacobson is an American film and television producer best known as the founder of Color Force and for producing major franchises such as "The Hunger Games."
-
C.
Amy Pascal
Amy Pascal is an American film producer and former Sony Pictures executive known for overseeing and producing numerous major Hollywood films.
-
D.
Thomas Grazer
Thomas Grazer is the son of acclaimed American film and television producer Brian Grazer.
-
E.
Jane Kurson
Jane Kurson is a film editor best known for her work on the 1988 fantasy-comedy film "Beetlejuice."
- 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_69aed9424514819086e9c58adde6652d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeed1290e48190aaf2d8b2a7be707a |
completed | March 9, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b51caf41c881909c5156480b46e794 |
completed | March 14, 2026, 8:30 a.m. |
Created at: March 9, 2026, 3:22 p.m.