Triple
T21726375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lee Ludwig Hart |
E536284
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Lee Ludwig Hart |
—
|
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: Lee Ludwig Hart | Statement: [Lee Ludwig Hart, name, Lee Ludwig Hart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lee Ludwig Hart Context triple: [Lee Ludwig Hart, name, Lee Ludwig Hart]
-
A.
Lee Ludwig Hart
chosen
Lee Ludwig Hart is the wife of former U.S. Senator and 1988 presidential candidate Gary Hart.
-
B.
Lee Berk
Lee Berk was an American educator and administrator who significantly shaped contemporary music education as a leader of the institution that became Berklee College of Music.
-
C.
Merle Dunetz
Merle Dunetz is a member of the Phoenix family, known primarily as the sister of activist and social worker Arlyn Phoenix and aunt to actors including Joaquin Phoenix.
-
D.
Joseph Hoffman
Joseph Hoffman was an American screenwriter known for his work on mid-20th-century films and television, including the 1938 movie "For Men Only."
-
E.
Howard Welsch
Howard Welsch was a film producer active in mid-20th-century American cinema, known for working on genre and studio pictures.
- 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_69e0c46d3284819099a4f9d5a704eb95 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd972ed248190bd0d4ac43efccbfd |
completed | April 27, 2026, 9:47 p.m. |
Created at: April 16, 2026, 6:48 p.m.