Triple
T14752356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Girl |
E346640
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Leanne Klein |
E977918
|
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: Leanne Klein | Statement: [The Girl, producer, Leanne Klein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leanne Klein Context triple: [The Girl, producer, Leanne Klein]
-
A.
Leanne Klein
chosen
Leanne Klein is a British television producer and executive known for her work on various UK factual and drama projects.
-
B.
Laura Veirs
Laura Veirs is an American singer-songwriter and guitarist known for her lyrically rich indie folk music and critically acclaimed albums such as "Carbon Glacier" and "July Flame."
-
C.
Emily Sweeney
Emily Sweeney is a dermatologist who appears as Rajesh Koothrappali’s love interest on the television sitcom "The Big Bang Theory."
-
D.
Bonnie Timmermann
Bonnie Timmermann is an American casting director and film producer known for her influential work on numerous acclaimed films and television series.
-
E.
Valerie Curtin
Valerie Curtin is an American actress and screenwriter known for her work in film and television, including co-writing the acclaimed legal drama "...And Justice for All."
- 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7d40efc8190bb1be34c19a2b57c |
completed | April 14, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb9a56a08190b6a178cd930a072d |
completed | May 8, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:30 a.m.