Triple
T5071799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orry-Kelly |
E114297
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Now, Voyager |
E151800
|
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: Now, Voyager | Statement: [Orry-Kelly, notableWork, Now, Voyager]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Now, Voyager Context triple: [Orry-Kelly, notableWork, Now, Voyager]
-
A.
Now, Voyager
chosen
Now, Voyager is a 1942 romantic drama film in which Bette Davis delivers one of her most acclaimed performances as a repressed woman who undergoes a profound personal transformation.
-
B.
Voyager
Voyager is a class of high-speed diesel-electric multiple unit trains used for intercity passenger services in the United Kingdom.
-
C.
Voyager
Voyager is South African Airways’ loyalty program that rewards frequent flyers with miles redeemable for flights, upgrades, and other travel benefits.
-
D.
Voyager
Voyager is a film adaptation of Max Frisch’s novel "Homo Faber," exploring themes of fate, identity, and the consequences of rationalism through the journey of an emotionally detached engineer.
-
E.
Voyager
Voyager is the Royal Air Force’s multi-role tanker transport aircraft, providing air-to-air refuelling and strategic airlift capabilities.
- 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_69bd443cf28c8190ad371d603563dbdd |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74ce140881909a2874663244c0db |
completed | March 20, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb1110a388190a5db1c94b3d60d6b |
completed | March 21, 2026, 2:54 p.m. |
Created at: March 20, 2026, 1:39 p.m.