Triple
T14703162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sergeant Calhoun |
E345358
|
entity |
| Predicate | voicedBy |
P2181
|
FINISHED |
| Object | Jane Lynch |
E229608
|
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: Jane Lynch | Statement: [Sergeant Calhoun, voicedBy, Jane Lynch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jane Lynch Context triple: [Sergeant Calhoun, voicedBy, Jane Lynch]
-
A.
Jane Lynch
chosen
Jane Lynch is an American actress and comedian best known for her sharp-witted roles in film and television, particularly as Sue Sylvester on the TV series "Glee."
-
B.
Kate Mullally
Kate Mullally is a person notable enough to be specifically cited as a bearer of the surname Mullally.
-
C.
Liz Mullally
Liz Mullally is a musician best known for her past role as a member of the American alternative rock band Blue October.
-
D.
Jo Anne Worley
Jo Anne Worley is an American comic actress and voice performer best known for her zany, high-energy work on the groundbreaking sketch comedy show "Rowan & Martin's Laugh-In."
-
E.
Rachel Messerer
Rachel Messerer was a member of the prominent Messerer family of Russian ballet, known as a relative of legendary ballerina Maya Plisetskaya.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb6071e5c8190bb5509c859135c2d |
completed | April 14, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb8221a4819098937018f24a0b44 |
completed | May 8, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:28 a.m.