Triple
T11897792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wednesday Morning, 3 A.M. |
E283077
|
entity |
| Predicate | sideTwoContains |
P5443
|
FINISHED |
| Object | Peggy-O |
E952412
|
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: Peggy-O | Statement: [Wednesday Morning, 3 A.M., sideTwoContains, Peggy-O]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peggy-O Context triple: [Wednesday Morning, 3 A.M., sideTwoContains, Peggy-O]
-
A.
Peggy-O
chosen
"Peggy-O" is a traditional folk ballad, widely known through renditions by artists like Simon & Garfunkel and the Grateful Dead, that tells a tragic love story involving a soldier and a woman named Peggy.
-
B.
Peg
Peg is a common diminutive or nickname for the female given name Margaret.
-
C.
Peg
"Peg" is a jazz-influenced pop/rock song by Steely Dan, known for its intricate production, sophisticated harmonies, and enduring popularity since its release on the 1977 album *Aja*.
-
D.
Peggy
Peggy is a common diminutive or nickname for the given name Margaret.
-
E.
Peggy-Ann
Peggy-Ann is a 1926 Broadway musical comedy with lyrics by Lorenz Hart and music by Richard Rodgers.
- 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_69d6ab2a90b08190a4e818821cc93e6d |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8dd13cc10819089d8d5103e562924 |
completed | April 10, 2026, 11:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f43ff588f08190affc45b44b9e85e3 |
completed | May 1, 2026, 5:53 a.m. |
Created at: April 8, 2026, 9:44 p.m.