Triple
T18000962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trudie Styler |
E430623
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Trudie |
—
|
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: Trudie | Statement: [Trudie Styler, givenName, Trudie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trudie Context triple: [Trudie Styler, givenName, Trudie]
-
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.
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.
-
D.
Phyllis
Phyllis is a tragic figure from classical legend, often depicted as a wronged lover who is transformed into an almond tree after being abandoned.
-
E.
Phyllis
Phyllis is a 1970s American television sitcom, spun off from The Mary Tyler Moore Show, that stars Cloris Leachman as the widowed Phyllis Lindstrom starting a new life in San Francisco.
- 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_69d8b90364248190a37381adea932f42 |
completed | April 10, 2026, 8:46 a.m. |
| NER | Named-entity recognition | batch_69e4b3e82ca48190aeb53e03c95ef223 |
completed | April 19, 2026, 10:52 a.m. |
Created at: April 10, 2026, 10:23 a.m.