Triple
T19669261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Human Nature |
E472288
|
entity |
| Predicate | lyricist |
P1360
|
FINISHED |
| Object | John Bettis |
—
|
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: John Bettis | Statement: [Human Nature, lyricist, John Bettis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Bettis Context triple: [Human Nature, lyricist, John Bettis]
-
A.
John Bettis
chosen
John Bettis is an American lyricist and songwriter known for penning numerous pop and television theme songs, including hits for artists like The Carpenters and Michael Jackson.
-
B.
Ben Childress
Ben Childress is a central character in the 1978 Brian De Palma horror-thriller "The Fury," known for his involvement with deadly psychic powers and government conspiracies.
-
C.
Don Baylor
Don Baylor was an American Major League Baseball slugger and later manager, renowned for his power hitting, durability, and leadership on and off the field.
-
D.
Bill Romo
Bill Romo is an individual notable for sharing the surname Romo, which is associated with several public figures in sports and entertainment.
-
E.
Tom Burleson
Tom Burleson is a retired American professional basketball center best known for his shot-blocking and rebounding in the NBA during the 1970s.
- 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_69d8e514f2e08190ba70a4449519d218 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6416ad1b481908d2890d8c21aac5c |
completed | April 20, 2026, 3:08 p.m. |
Created at: April 10, 2026, 1:45 p.m.