Triple
T23278993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peggy Sue Got Married |
E588804
|
entity |
| Predicate | hasTitleSong |
P38
|
FINISHED |
| Object | Peggy Sue |
—
|
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 Sue | Statement: [Peggy Sue Got Married, hasTitleSong, Peggy Sue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peggy Sue Context triple: [Peggy Sue Got Married, hasTitleSong, Peggy Sue]
-
A.
Peggy Sue
chosen
"Peggy Sue" is a classic 1957 rock and roll song by Buddy Holly that became one of his most famous and enduring hits.
-
B.
Peggy Sue Henry
Peggy Sue Henry is known as the former wife of American businessman and Boston Red Sox principal owner John W. Henry.
-
C.
Peggy
Peggy is a common diminutive or nickname for the given name Margaret.
-
D.
Peggy
"Peggy" is a popular Finnish song performed by singer and actor Samuli Edelmann.
-
E.
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.
- 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_69e25d16e2c08190a291de254703129e |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196419eac819081d0beb5767046dc |
completed | April 29, 2026, 5:25 a.m. |
Created at: April 17, 2026, 4:49 p.m.