Triple
T7654978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valeria Tanco |
E173356
|
entity |
| Predicate | hasSpouse |
P13
|
FINISHED |
| Object | Sophie Jesty |
E217597
|
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: Sophie Jesty | Statement: [Valeria Tanco, hasSpouse, Sophie Jesty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sophie Jesty Context triple: [Valeria Tanco, hasSpouse, Sophie Jesty]
-
A.
Sophia Jesty
chosen
Sophia Jesty is an American woman known for being one of the plaintiffs challenging Tennessee’s ban on same-sex marriage in the landmark case Tanco v. Haslam.
-
B.
Sophia Hitchens
Sophia Hitchens is the daughter of the late British-American author and polemicist Christopher Hitchens.
-
C.
Sophia Baines
Sophia Baines is one of the central sisters in Arnold Bennett’s novel "The Old Wives’ Tale," whose life story illustrates the quiet dramas and social changes of provincial English womanhood in the late 19th and early 20th centuries.
-
D.
Sophie Baker
Sophie Baker is known as the wife of acclaimed English actor Ian Holm.
-
E.
Sophie Baker
Sophie Baker is the charming and seemingly clairvoyant young spiritualist portrayed by Emma Stone in Woody Allen’s romantic comedy film "Magic in the Moonlight."
- 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_69c6995473348190a4f41d110d619a18 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7018d4cdc819092ca297b836190d9 |
completed | March 27, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8a21dd3088190bb026de65970a14b |
completed | March 29, 2026, 3:53 a.m. |
Created at: March 27, 2026, 3:59 p.m.