Triple
T10226243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | True Crime |
E243210
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Lennie Niehaus |
E274901
|
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: Lennie Niehaus | Statement: [True Crime, musicBy, Lennie Niehaus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lennie Niehaus Context triple: [True Crime, musicBy, Lennie Niehaus]
-
A.
Lennie Niehaus
chosen
Lennie Niehaus was an American jazz saxophonist, composer, and longtime film scorer best known for his frequent collaborations with director Clint Eastwood.
-
B.
John Froines
John Froines was an American chemist, anti–Vietnam War activist, and one of the defendants in the infamous Chicago Seven trial.
-
C.
Pete Steinkopf
Pete Steinkopf is an American guitarist best known as a founding member of the New Jersey punk rock band The Bouncing Souls.
-
D.
Sherm Lollar
Sherm Lollar was an American Major League Baseball catcher, best known for his long tenure with the Chicago White Sox, multiple All-Star selections, and strong defensive play in the 1950s.
-
E.
Lloyd Hubler
Lloyd Hubler is a cinematographer best known for his work on the animated film "Megamind."
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d1f9cf6c81909a6b9e9b9d0a79fe |
completed | April 7, 2026, 9:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d406e2c8190ad27f3a5276be25f |
completed | April 19, 2026, 1:17 a.m. |
Created at: April 6, 2026, 11:17 a.m.