Triple
T21454988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teacha |
E529317
|
entity |
| Predicate | realName |
P9233
|
FINISHED |
| Object | Lawrence Parker |
—
|
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: Lawrence Parker | Statement: [Teacha, realName, Lawrence Parker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lawrence Parker Context triple: [Teacha, realName, Lawrence Parker]
-
A.
Lawrence Parker
chosen
Lawrence Parker, better known by his stage name KRS-One, is an influential American rapper and hip-hop pioneer renowned for his socially conscious lyrics and role in the development of conscious rap.
-
B.
Sam Nelson
Sam Nelson is an American musician and the son of rock and roll singer Ricky Nelson.
-
C.
John T. Chance
John T. Chance is the fictional small-town sheriff played by John Wayne in the classic 1959 Western film "Rio Bravo."
-
D.
Fred Warren
Fred Warren was an American journalist and prominent socialist editor known for his leadership role at the influential early 20th-century socialist newspaper Appeal to Reason.
-
E.
Fred Warren
Fred Warren was an actor known for appearing in early American cinema, including the 1929 film "Coquette."
- 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_69e0c457579481909db68053ed99750c |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9d612e081909d00ca59a3621cc9 |
completed | April 23, 2026, 9:43 a.m. |
Created at: April 16, 2026, 6:08 p.m.