Triple
T15885438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monty Brogan |
E385180
|
entity |
| Predicate | firstAppearance |
P795
|
FINISHED |
| Object | 25th Hour (novel) |
E77005
|
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: 25th Hour (novel) | Statement: [Monty Brogan, firstAppearance, 25th Hour (novel)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 25th Hour (novel) Context triple: [Monty Brogan, firstAppearance, 25th Hour (novel)]
-
A.
The 25th Hour
chosen
The 25th Hour is a novel by David Benioff that follows a convicted drug dealer’s final day of freedom in New York City before beginning a seven-year prison sentence.
-
B.
25th Hour
25th Hour is an early mixtape by Los Angeles rapper Dom Kennedy that helped establish his laid-back, West Coast style and growing underground following.
-
C.
Blow
Blow is a 2001 crime drama film that chronicles the rise and fall of American cocaine smuggler George Jung within the 1970s–1980s drug trade.
-
D.
Blow
Blow is a track by the American heavy metal band Bastard, known for its aggressive sound and raw energy.
-
E.
Blow
"Blow" is a disco-funk inspired song by Beyoncé, known for its sensual lyrics, retro production, and vibrant roller-disco themed visuals.
- 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1561997bc8190a40e7d68defbbddd |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb04598e0819094274868941195b9 |
completed | May 9, 2026, 10:08 p.m. |
Created at: April 10, 2026, 4:51 a.m.