Triple
T8543824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Ladder |
E202270
|
entity |
| Predicate | notableContributor |
P304
|
FINISHED |
| Object | Del Martin |
E740724
|
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: Del Martin | Statement: [The Ladder, notableContributor, Del Martin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Del Martin Context triple: [The Ladder, notableContributor, Del Martin]
-
A.
Del Martin
chosen
Del Martin was a pioneering American lesbian activist, feminist, and co-founder of the Daughters of Bilitis who played a key role in the early LGBTQ+ rights movement.
-
B.
Arlene Francis
Arlene Francis was an American actress, radio and television talk show host, and longtime panelist on the game show "What's My Line?"
-
C.
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.
-
D.
Gloria Blondell
Gloria Blondell was an American film, radio, and television actress of the mid-20th century, known for her character roles and as the younger sister of actress Joan Blondell.
-
E.
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.
- 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_69ca832461e88190a654c5e44e233aa8 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe6e381d4819084e230389a3ecb77 |
completed | March 31, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce8924e3348190b7c8911e574d1cd0 |
completed | April 2, 2026, 3:20 p.m. |
Created at: March 30, 2026, 6:18 p.m.