Triple
T9794888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walking Distance |
E237693
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Gig Young |
E583304
|
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: Gig Young | Statement: [Walking Distance, starring, Gig Young]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gig Young Context triple: [Walking Distance, starring, Gig Young]
-
A.
Gig Young
chosen
Gig Young was an American film, television, and stage actor known for his suave, often cynical supporting roles and his Academy Award-winning performance in "They Shoot Horses, Don't They?".
-
B.
Ivor Claire
Ivor Claire is a central, morally complex army officer in Evelyn Waugh’s *Sword of Honour* trilogy, whose actions and choices embody the themes of honor, duty, and betrayal in wartime.
-
C.
Frank Muir
Frank Muir was a British comedy writer and broadcaster known for his witty contributions to radio and television panel shows and for co-creating several classic British sitcoms.
-
D.
Bert Whalley
Bert Whalley was an English football coach and former player for Manchester United who tragically died in the 1958 Munich air disaster.
-
E.
Leo Genn
Leo Genn was a British actor and barrister known for his distinguished, authoritative screen presence in mid-20th-century films.
- 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_69ca84dc04488190b9c91193976c0960 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda34916dc8190acef2ba003e56a33 |
completed | April 1, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1c43bccfc81909b940b180fe26626 |
completed | April 5, 2026, 2:09 a.m. |
Created at: March 30, 2026, 8:28 p.m.