Triple
T22101860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victim |
E546190
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Janet Green |
—
|
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: Janet Green | Statement: [Victim, screenwriter, Janet Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Janet Green Context triple: [Victim, screenwriter, Janet Green]
-
A.
Janet Green
Janet Green is a fictional character from the soap opera "All My Children," known for her scheming, villainous behavior and tumultuous relationships in Pine Valley.
-
B.
Janet Green
chosen
Janet Green was a British screenwriter known for her incisive social dramas and influential work in mid-20th-century cinema.
-
C.
Ruth Greenfield
Ruth Greenfield is an actress known for playing the character Elora Danan.
-
D.
Janet Simpson
Janet Simpson is a musician and composer known for creating the score for the documentary "Client 9: The Rise and Fall of Eliot Spitzer."
-
E.
Patricia Greene
Patricia Greene is a British actress best known for her long-running role as Jill Archer in the BBC radio soap opera "The Archers."
- 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129163b908190b63ace06016f4db8 |
completed | April 28, 2026, 9:39 p.m. |
Created at: April 16, 2026, 8:30 p.m.