Triple
T13122388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brianne Theisen-Eaton |
E311756
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Brianne
Brianne is a Canadian former heptathlete and Olympic bronze medallist known for her success in combined track and field events.
|
E1022437
|
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: Brianne | Statement: [Brianne Theisen-Eaton, givenName, Brianne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brianne Context triple: [Brianne Theisen-Eaton, givenName, Brianne]
-
A.
Brenna
Brenna is a village and popular tourist resort in southern Poland, situated in the Silesian Beskids mountain range.
-
B.
Brenna
Brenna is a Norwegian surname most notably borne by Tonje Brenna, a contemporary Norwegian politician.
-
C.
Breanna
Breanna is the given name of Breanna Stewart, a prominent American professional basketball player and multiple-time WNBA champion and MVP.
-
D.
Brianne Sidonie Desaulniers
Brianne Sidonie Desaulniers, better known as Brie Larson, is an American actress and filmmaker acclaimed for roles in films like "Room" and "Captain Marvel."
-
E.
Reaghan
Reaghan is a given name that functions as an alternative spelling variant of the name Reagan.
- 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: Brianne Triple: [Brianne Theisen-Eaton, givenName, Brianne]
Generated description
Brianne is a Canadian former heptathlete and Olympic bronze medallist known for her success in combined track and field events.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brianne Target entity description: Brianne is a Canadian former heptathlete and Olympic bronze medallist known for her success in combined track and field events.
-
A.
Brenna
Brenna is a village and popular tourist resort in southern Poland, situated in the Silesian Beskids mountain range.
-
B.
Brenna
Brenna is a Norwegian surname most notably borne by Tonje Brenna, a contemporary Norwegian politician.
-
C.
Breanna
Breanna is the given name of Breanna Stewart, a prominent American professional basketball player and multiple-time WNBA champion and MVP.
-
D.
Brianne Sidonie Desaulniers
Brianne Sidonie Desaulniers, better known as Brie Larson, is an American actress and filmmaker acclaimed for roles in films like "Room" and "Captain Marvel."
-
E.
Reaghan
Reaghan is a given name that functions as an alternative spelling variant of the name Reagan.
- 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.