Triple
T14018500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I've Got a Secret |
E337261
|
entity |
| Predicate | notablePanelist |
P6467
|
FINISHED |
| Object | Betsy Palmer |
E857981
|
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: Betsy Palmer | Statement: [I've Got a Secret, notablePanelist, Betsy Palmer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Betsy Palmer Context triple: [I've Got a Secret, notablePanelist, Betsy Palmer]
-
A.
Betsy Palmer
chosen
Betsy Palmer was an American actress best known for her work in film, television, and on game shows, and for playing Pamela Voorhees in the original "Friday the 13th."
-
B.
Betsy Aidem
Betsy Aidem is an American actress known for her work in film, television, and theater.
-
C.
Isla Phillips
Isla Phillips is a granddaughter of Princess Anne and the eldest great-grandchild of Queen Elizabeth II and Prince Philip.
-
D.
Sheila Hancock
Sheila Hancock is a British actress and author renowned for her extensive work in theatre, television, and film, as well as her appearances as a television presenter and panelist.
-
E.
Claire Bloom
Claire Bloom is an acclaimed English actress known for her distinguished stage and screen career, including prominent roles in classic films, television dramas, and Shakespearean productions.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f3b5b088190a58715779d2c46a6 |
completed | April 14, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd324133f8819088c0d80a4e8fb5be |
completed | May 8, 2026, 12:45 a.m. |
Created at: April 9, 2026, 10:19 p.m.