Triple
T21405261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Couples Retreat |
E528015
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Trudy |
—
|
NE NERFINISHED |
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: Trudy | Statement: [Couples Retreat, mainCharacter, Trudy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trudy Context triple: [Couples Retreat, mainCharacter, Trudy]
-
A.
Trudy
Trudy is the nickname of Gertrude Ederle, the American competitive swimmer who became the first woman to swim across the English Channel.
-
B.
Trudy
chosen
Trudy is a feminine given name, often used as a diminutive of names like Ermintrude or Gertrude.
-
C.
Trisha
Trisha is a prominent Indian actress best known for her leading roles in Tamil films and her significant impact on South Indian cinema.
-
D.
Eva Trout
Eva Trout is a 1968 novel by Anglo-Irish writer Elizabeth Bowen, known for its experimental narrative and exploration of identity, isolation, and emotional disconnection in modern life.
-
E.
Doreen
Doreen is a lively, rebellious young woman in Sylvia Plath’s novel "The Bell Jar," serving as a foil to the protagonist Esther Greenwood.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b520ee3c8190abddbee7e37e834c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b1aea22881909a0cc754e417fbf3 |
completed | April 22, 2026, 11:31 a.m. |
Created at: April 16, 2026, 5:31 p.m.