Triple
T6597425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neil Jordan |
E148510
|
entity |
| Predicate | wroteScreenplayFor |
P15305
|
FINISHED |
| Object | Greta (2018 film) |
E601607
|
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: Greta (2018 film) | Statement: [Neil Jordan, wroteScreenplayFor, Greta (2018 film)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greta (2018 film) Context triple: [Neil Jordan, wroteScreenplayFor, Greta (2018 film)]
-
A.
Greta (2018 film)
chosen
Greta is a 2018 psychological thriller film about a young woman who befriends a seemingly lonely older widow, only to discover her increasingly obsessive and dangerous behavior.
-
B.
"I Am Greta"
"I Am Greta" is a documentary film that follows climate activist Greta Thunberg’s rise from solitary school striker to global environmental icon.
-
C.
Greta
Greta is a small town located within the Hunter Region of New South Wales, Australia.
-
D.
Greta
Greta is a feminine given name, commonly used as a diminutive or variant of names like Margaret in various European languages.
-
E.
Elle
Elle is the solitary female protagonist of Francis Poulenc’s one-act opera *La voix humaine*, whose intense telephone monologue lays bare her emotional collapse during a breakup.
- 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_69c687e7b8688190811ffee72e096468 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6aeee738081908913f4f8c6699bd9 |
completed | March 27, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6eedfe3a88190a1d7fda9ff0dc9bd |
completed | March 27, 2026, 8:56 p.m. |
Created at: March 27, 2026, 1:56 p.m.