Triple
T20701855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Girl Next Door |
E508803
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Brent Goldberg |
—
|
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: Brent Goldberg | Statement: [The Girl Next Door, screenwriter, Brent Goldberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brent Goldberg Context triple: [The Girl Next Door, screenwriter, Brent Goldberg]
-
A.
Brent Goldberg
chosen
Brent Goldberg is a screenwriter best known for co-writing the college comedy film "Van Wilder."
-
B.
John Briscoe
John Briscoe was a renowned engineer and water resources expert recognized globally for his contributions to water management and policy.
-
C.
Kevin Gable
Kevin Gable is the bumbling yet well-meaning retired police officer and family man portrayed by Kevin James in the sitcom "Kevin Can Wait."
-
D.
Mark Henry
Mark Henry is a retired American professional wrestler and former Olympic weightlifter best known for his powerful "World's Strongest Man" persona in WWE.
-
E.
Mike Kershaw
Mike Kershaw is a software developer best known for creating the wireless network detector and sniffer tool Kismet.
- 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_69e0b4c2b2a481909e31e9cb8f81ab55 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c18cb9cc819095d0669dca037424 |
completed | April 21, 2026, 12:15 a.m. |
Created at: April 16, 2026, 12:12 p.m.