Triple
T15344903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Susan Vance |
E366890
|
entity |
| Predicate | romanticInterest |
P7325
|
FINISHED |
| Object | David Huxley |
E365348
|
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: David Huxley | Statement: [Susan Vance, romanticInterest, David Huxley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Huxley Context triple: [Susan Vance, romanticInterest, David Huxley]
-
A.
David Huxley
chosen
David Huxley is the mild-mannered, bespectacled paleontologist whose orderly life is upended by a free-spirited heiress in the classic screwball comedy "Bringing Up Baby."
-
B.
Leonard Huxley
Leonard Huxley was a British schoolmaster, biographer, and editor best known for his literary work and for being the father of writers Aldous and Julian Huxley.
-
C.
John Strachey
John Strachey was a prominent British socialist politician, writer, and intellectual who served as a Labour MP and Minister of Food in the mid-20th century.
-
D.
Neville Sidgwick
Neville Sidgwick was a British chemist known for his influential work on valence theory and the nature of chemical bonding.
-
E.
George Rawlinson
George Rawlinson was a 19th-century English clergyman and eminent historian known for his works on ancient history and translations of classical texts.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e163a3c8190ab933411372c1573 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1341033881909121ade33cecaf50 |
completed | May 9, 2026, 10:58 a.m. |
Created at: April 10, 2026, 3:17 a.m.