Triple
T16552303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Candle in the Wind |
E402101
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | T. H. White |
E92021
|
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: T. H. White | Statement: [The Candle in the Wind, author, T. H. White]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: T. H. White Context triple: [The Candle in the Wind, author, T. H. White]
-
A.
T. H. White
chosen
T. H. White was a British author best known for his Arthurian fantasy series "The Once and Future King."
-
B.
Lloyd Alexander
Lloyd Alexander was an American author best known for his fantasy series "The Chronicles of Prydain," which drew on Welsh mythology and inspired the film adaptation "The Black Cauldron."
-
C.
Peter S. Beagle
Peter S. Beagle is an American fantasy author and screenwriter best known for writing the novel "The Last Unicorn" and contributing to various fantasy film and television projects.
-
D.
Mervyn Peake
Mervyn Peake was a British writer and illustrator best known for his richly imaginative and gothic Gormenghast fantasy series.
-
E.
Michael Ende
Michael Ende was a German fantasy author best known for writing the novel "The NeverEnding Story," as well as other influential works like "Momo."
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e34fc6735481908b59bbf80fb3469b |
completed | April 18, 2026, 9:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084ae0fb08190b809cd26b2e413aa |
completed | May 10, 2026, 1:14 p.m. |
Created at: April 10, 2026, 5:15 a.m.