Triple
T4323352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Lesson in Leavin' |
E96572
|
entity |
| Predicate | lyricist |
P1360
|
FINISHED |
| Object | Brent Maher |
E432336
|
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: Brent Maher | Statement: [A Lesson in Leavin', lyricist, Brent Maher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brent Maher Context triple: [A Lesson in Leavin', lyricist, Brent Maher]
-
A.
Brent Maher
chosen
Brent Maher is an American record producer and songwriter best known for his work in country music, including hit collaborations with artists like The Judds.
-
B.
Cris Collinsworth
Cris Collinsworth is a former NFL wide receiver who became a prominent American football television analyst and color commentator, best known for his work on major network broadcasts of NFL games.
-
C.
Lou Carducci
Lou Carducci is a fictional character played by American actress and model Mackenzie Foy.
-
D.
Mike Tirico
Mike Tirico is an American sportscaster best known for his play-by-play work on major NFL and other marquee sports broadcasts for NBC and previously ESPN.
-
E.
Chris Berman
Chris Berman is a longtime ESPN sportscaster best known for his energetic NFL coverage and signature catchphrases.
- 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_69b345422aac81909ddbadae437d122e |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351177eb88190b89fa49a88add5e8 |
completed | March 12, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5db950f5c8190ba67d8e2f8da50dc |
completed | March 14, 2026, 10:05 p.m. |
Created at: March 12, 2026, 11:13 p.m.