Triple
T984499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sid Luft |
E21248
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Sid Luft |
E21248
|
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: Sid Luft | Statement: [Sid Luft, name, Sid Luft]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sid Luft Context triple: [Sid Luft, name, 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.
Tobias Beckett
Tobias Beckett is a seasoned criminal and mentor figure in the Star Wars universe who guides a young Han Solo into the world of smuggling and heists.
-
C.
Lando Calrissian
Lando Calrissian is a charming, smooth-talking gambler, smuggler, and later Rebel leader in the Star Wars universe, known for his roguish charisma and complex loyalties.
-
D.
Lucas
Lucas is the surname of George Lucas, the influential American filmmaker best known as the creator of the Star Wars and Indiana Jones franchises.
-
E.
Philip Sabes
Philip Sabes is a neuroscientist and entrepreneur known for his work on brain–computer interfaces and for co-founding the neurotechnology company Neuralink.
- 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_69a493c383dc8190a03257f22d4b4183 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4959fe48190a78bd811cbc888ab |
completed | March 1, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac1ce3c6fc81909fbbf04eef1b997e |
completed | March 7, 2026, 12:41 p.m. |
Created at: March 1, 2026, 7:41 p.m.