Triple
T20076888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Summer Stock (soundtrack) |
E499890
|
entity |
| Predicate | featuresSong |
P2152
|
FINISHED |
| Object | Portland Fancy |
—
|
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: Portland Fancy | Statement: [Summer Stock (soundtrack), featuresSong, Portland Fancy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Portland Fancy Context triple: [Summer Stock (soundtrack), featuresSong, Portland Fancy]
-
A.
Portland Fancy
chosen
"Portland Fancy" is a traditional New England contra dance tune commonly played in folk and country dance music.
-
B.
London Town
"London Town" is a 1978 studio album by Paul McCartney and Wings, known for its soft rock sound and the hit single "With a Little Luck."
-
C.
Parlor City
Parlor City is a historic nickname for Binghamton, New York, reflecting its past reputation as a refined, prosperous urban center.
-
D.
Frenchman Flat
Frenchman Flat is a dry lake bed in southern Nevada best known as a major nuclear weapons testing site during the mid-20th century.
-
E.
Tilehurst
Tilehurst is a suburban area and former village on the western edge of Reading in Berkshire, England, known for its residential character and proximity to the River Thames.
- 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6643bcfd48190893abd3734f15cd3 |
completed | April 20, 2026, 5:37 p.m. |
Created at: April 11, 2026, 3:40 p.m.