Triple
T13122381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brianne Theisen-Eaton |
E311755
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object |
Theisen-Eaton
Theisen-Eaton is the hyphenated surname shared by Canadian heptathlete Brianne Theisen-Eaton and her husband, American decathlete Ashton Eaton.
|
E1022436
|
NE FINISHED |
How this triple was built (4 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: Theisen-Eaton | Statement: [Brianne Theisen-Eaton, hasFamilyName, Theisen-Eaton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Theisen-Eaton Context triple: [Brianne Theisen-Eaton, hasFamilyName, Theisen-Eaton]
-
A.
Daniell
Daniell is an English-language surname borne by various notable individuals in fields such as acting, science, and public service.
-
B.
Eaton Socon
Eaton Socon is a suburban area and former village now effectively part of the town of St Neots in Cambridgeshire, England.
-
C.
Rennahan
Rennahan is a surname most notably associated with Ray Rennahan, an American cinematographer known for his pioneering work with Technicolor.
-
D.
Hayes
Hayes is a suburban town in west London, England, known for its residential areas, transport links, and proximity to Heathrow Airport.
-
E.
Hayes
Hayes is a common English surname borne by numerous notable figures in politics, entertainment, sports, and other fields.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Theisen-Eaton Triple: [Brianne Theisen-Eaton, hasFamilyName, Theisen-Eaton]
Generated description
Theisen-Eaton is the hyphenated surname shared by Canadian heptathlete Brianne Theisen-Eaton and her husband, American decathlete Ashton Eaton.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Theisen-Eaton Target entity description: Theisen-Eaton is the hyphenated surname shared by Canadian heptathlete Brianne Theisen-Eaton and her husband, American decathlete Ashton Eaton.
-
A.
Daniell
Daniell is an English-language surname borne by various notable individuals in fields such as acting, science, and public service.
-
B.
Eaton Socon
Eaton Socon is a suburban area and former village now effectively part of the town of St Neots in Cambridgeshire, England.
-
C.
Rennahan
Rennahan is a surname most notably associated with Ray Rennahan, an American cinematographer known for his pioneering work with Technicolor.
-
D.
Hayes
Hayes is a common English surname borne by numerous notable figures in politics, entertainment, sports, and other fields.
-
E.
Hayes
Hayes is a suburban town in west London, England, known for its residential areas, transport links, and proximity to Heathrow Airport.
- F. None of above. chosen
Provenance (5 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9819840b881909b76022b4c4dcaed |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e289462c8190b1625a26f019d744 |
completed | May 3, 2026, 5:52 a.m. |
| NEDg | Description generation | batch_69f6e44fa8c88190a8f7bd715f34ec0b |
completed | May 3, 2026, 5:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6e4c96b8c8190bb2f2988a5f8a14b |
completed | May 3, 2026, 6:01 a.m. |
Created at: April 9, 2026, 9:07 p.m.