Triple
T20384309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sid Luft as Judy Garland’s manager |
E497920
|
entity |
| Predicate | hasManager |
P2962
|
FINISHED |
| Object | Sid Luft |
—
|
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: Sid Luft | Statement: [Sid Luft as Judy Garland’s manager, hasManager, Sid Luft]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sid Luft Context triple: [Sid Luft as Judy Garland’s manager, hasManager, Sid Luft]
-
A.
Sid Luft
chosen
Sid Luft was an American film producer and manager best known for revitalizing Judy Garland’s career and producing the 1954 version of "A Star Is Born."
-
B.
Lazlo Biggs
Lazlo Biggs is the child of American actor Jason Biggs.
-
C.
Sal Solo
Sal Solo is an English singer and songwriter best known as the lead vocalist of the New Wave band Classix Nouveaux and later for his work in Christian music.
-
D.
Veit Renn
Veit Renn is a music producer best known for his work on major pop projects, including *No Strings Attached* by NSYNC.
-
E.
Alan Garen
Alan Garen was an American molecular biologist and geneticist known for his pioneering work on the genetic code and protein synthesis.
- 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_69e0b4a5b7908190a972e4e7e698ae94 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678b2ceec819091ad5205ee9b2174 |
completed | April 20, 2026, 7:04 p.m. |
Created at: April 16, 2026, 11:27 a.m.