Triple
T13550149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belle |
E323620
|
entity |
| Predicate | screenwriterOfWork |
P25235
|
FINISHED |
| Object | Gillian Flynn |
E323615
|
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: Gillian Flynn | Statement: [Belle, screenwriterOfWork, Gillian Flynn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gillian Flynn Context triple: [Belle, screenwriterOfWork, Gillian Flynn]
-
A.
Gillian Flynn
chosen
Gillian Flynn is an American author and screenwriter best known for her dark psychological thrillers such as "Gone Girl," many of which have been adapted for film and television.
-
B.
Paula Hawkins
Paula Hawkins is a British author best known for her psychological thriller novel "The Girl on the Train," which was adapted into the 2016 film of the same name.
-
C.
Dina Meyer
Dina Meyer is an American actress best known for her roles in science fiction and horror films and television series, including the Saw franchise and Birds of Prey.
-
D.
Alice Sebold
Alice Sebold is an American author best known for her novels "The Lovely Bones" and "The Almost Moon," as well as her memoir "Lucky."
-
E.
Lionel Shriver
Lionel Shriver is an American author best known for her provocative, psychologically incisive novels such as "We Need to Talk About Kevin."
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaff0a6548190b8cde5084cef0061 |
completed | April 12, 2026, 2:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f794281fb48190882f164df1def07e |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:46 p.m.