Triple
T20356748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peggy King |
E496667
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Peggy |
—
|
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: Peggy | Statement: [Peggy King, givenName, Peggy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peggy Context triple: [Peggy King, givenName, Peggy]
-
A.
Peggy
chosen
Peggy is a common diminutive or nickname for the given name Margaret.
-
B.
Peggy
Peggy is a fictional character from Robert A. Heinlein’s science fiction novel "Farmer in the Sky," set during the colonization of Jupiter’s moon Ganymede.
-
C.
Peggy-Ann
Peggy-Ann is a 1926 Broadway musical comedy with lyrics by Lorenz Hart and music by Richard Rodgers.
-
D.
Peggy Shay
Peggy Shay is a performer known for her role as a cast member on the short-lived but influential sketch comedy series *The Dana Carvey Show*.
-
E.
Peggy Preston
Peggy Preston is a fictional character from the British drama film "The Dig," which explores the 1939 Sutton Hoo archaeological excavation.
- 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_69e0b4a3f7f48190b37f354574028ca6 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67854c0448190ab10363f8a218afb |
completed | April 20, 2026, 7:02 p.m. |
Created at: April 16, 2026, 11:25 a.m.