Triple
T2788466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lorna Luft |
E61868
|
entity |
| Predicate | father |
P120
|
FINISHED |
| Object | Sidney Luft |
E211224
|
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: Sidney Luft | Statement: [Lorna Luft, father, Sidney Luft]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sidney Luft Context triple: [Lorna Luft, father, Sidney Luft]
-
A.
Sidney Luft
chosen
Sidney Luft was an American show business figure and film producer best known as the husband and manager of Judy Garland, helping to revive her career in the 1950s.
-
B.
Sidney Lee
Sidney Lee was a British biographer and literary scholar best known for his extensive work on the Dictionary of National Biography and his influential studies of William Shakespeare.
-
C.
John L. Lumley
John L. Lumley was a prominent American fluid dynamicist known for his pioneering contributions to the understanding and modeling of turbulence.
-
D.
Orrington Lunt
Orrington Lunt was a 19th-century Chicago grain merchant and philanthropist who played a key role in establishing Northwestern University.
-
E.
Victor A. Crutchley
Victor A. Crutchley was a British Royal Navy admiral and Victoria Cross recipient who served with distinction in both World Wars.
- 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_69ab4b7f51d881908768300ebd2fbdae |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abddb3d63c8190b3ab5fa363c69db8 |
completed | March 7, 2026, 8:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afce8e2c488190a63332f36803c295 |
completed | March 10, 2026, 7:55 a.m. |
Created at: March 6, 2026, 9:58 p.m.