Triple
T16798736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lally Weymouth |
E408298
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Yann Weymouth |
E226787
|
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: Yann Weymouth | Statement: [Lally Weymouth, spouse, Yann Weymouth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yann Weymouth Context triple: [Lally Weymouth, spouse, Yann Weymouth]
-
A.
Yann Weymouth
chosen
Yann Weymouth is an American architect known for designing prominent cultural and museum buildings, including the Salvador Dalí Museum in St. Petersburg, Florida.
-
B.
Yann
Yann is the given name of Yann LeCun, a pioneering computer scientist known for his foundational work in deep learning and convolutional neural networks.
-
C.
Hudson Fysh
Hudson Fysh was an Australian aviator and businessman best known as a co-founder and long-serving leader of Qantas, helping to establish it as a major international airline.
-
D.
Sebastian Oldsmith
Sebastian Oldsmith is the central protagonist of the novel "Shout at the Devil," around whom the story’s main events and conflicts revolve.
-
E.
Sebastian Wilder
Sebastian Wilder is a passionate jazz pianist and aspiring club owner in the film "La La Land," whose romance and artistic ambitions drive much of the movie’s emotional core.
- 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_69d88393905081908d00a86b99996ac8 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2abc430819080c1303eded5f416 |
completed | April 18, 2026, 4:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00ab1299ac81908e9f1eebc3424bb9 |
completed | May 10, 2026, 3:58 p.m. |
Created at: April 10, 2026, 5:22 a.m.