Triple
T10647618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | What's My Line? |
E250876
|
entity |
| Predicate | regularPanelist |
P858
|
FINISHED |
| Object | Arlene Francis |
E482827
|
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: Arlene Francis | Statement: [What's My Line?, regularPanelist, Arlene Francis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arlene Francis Context triple: [What's My Line?, regularPanelist, Arlene Francis]
-
A.
Arlene Francis
chosen
Arlene Francis was an American actress, radio and television talk show host, and longtime panelist on the game show "What's My Line?"
-
B.
Arlene Dahl
Arlene Dahl was an American film actress and former MGM contract star of the 1940s and 1950s, known for her glamorous screen presence and roles in Technicolor melodramas.
-
C.
Arlene Howell
Arlene Howell is an American actress best known for her role as the secretary Melody Lee Mercer on the television detective series "Bourbon Street Beat."
-
D.
Edna Francis
Edna Francis was the wife of Roy O. Disney and sister-in-law of Walt Disney, connected to the founding family of The Walt Disney Company.
-
E.
Myrna Fahey
Myrna Fahey was an American actress known for her film and television roles in the 1950s and 1960s, often appearing in comedies and dramas.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfe29b8081908eb13637e0475ba1 |
completed | April 8, 2026, 11:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e343cd76448190b0583cc15005ac9d |
completed | April 18, 2026, 8:41 a.m. |
Created at: April 8, 2026, 9:05 p.m.