Triple
T18035686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roy Furman |
E431501
|
entity |
| Predicate | produced |
P490
|
FINISHED |
| Object | The Minutes |
—
|
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: The Minutes | Statement: [Roy Furman, produced, The Minutes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Minutes Context triple: [Roy Furman, produced, The Minutes]
-
A.
The Minutes
chosen
The Minutes is a darkly comic stage play by Tracy Letts that satirically exposes small-town politics and American civic life through a tense city council meeting.
-
B.
Ten Minutes
"Ten Minutes" is a popular emo and indie rock song by The Get Up Kids, known for its energetic tempo and emotionally charged lyrics.
-
C.
Ten Minutes
Ten Minutes is a stand-up comedy special by comedian Byron Bowers.
-
D.
The Fifty-Minute Hour
The Fifty-Minute Hour is a classic collection of real-life psychoanalytic case studies by psychiatrist Robert Lindner, notable for its vivid, narrative-style exploration of patients’ inner lives and therapeutic processes.
-
E.
The Meeting
"The Meeting" is a painting by 19th-century Russian-born artist and diarist Marie Bashkirtseff, reflecting her realist style and interest in contemporary social scenes.
- 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.