Triple
T18035685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roy Furman |
E431501
|
entity |
| Predicate | produced |
P490
|
FINISHED |
| Object | Hadestown |
—
|
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: Hadestown | Statement: [Roy Furman, produced, Hadestown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hadestown Context triple: [Roy Furman, produced, Hadestown]
-
A.
Hadestown
chosen
Hadestown is a Tony Award–winning Broadway musical that reimagines the Greek myths of Orpheus and Eurydice and Hades and Persephone through a folk- and jazz-infused score.
-
B.
Oreste in Hadestown
Oreste in Hadestown is a character role in the musical "Hadestown," portrayed onstage by actor and singer Ramin Karimloo.
-
C.
Falsettos
Falsettos is a Tony Award–winning Broadway musical by William Finn and James Lapine that explores family, sexuality, and identity in the early years of the AIDS crisis.
-
D.
State of Song
The State of Song was an ancient Chinese state during the Zhou dynasty period, historically notable as the homeland of the philosopher Zhuangzi.
-
E.
Girl from the North Country
"Girl from the North Country" is a reflective folk ballad by Bob Dylan, celebrated for its melancholic lyrics and enduring influence in his catalog.
- 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_69d8b9050fb48190890155145deb0a66 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4be39a7348190a75735fe56c78fc3 |
completed | April 19, 2026, 11:36 a.m. |
Created at: April 10, 2026, 10:25 a.m.