Triple
T15992836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lizzie Borden |
E387877
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Borden |
E603478
|
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: Borden | Statement: [Lizzie Borden, familyName, Borden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Borden Context triple: [Lizzie Borden, familyName, Borden]
-
A.
Borden
chosen
Borden is a small community in Essa Township, Ontario, best known for the nearby Canadian Forces Base Borden.
-
B.
Belisle
Belisle is a surname of French origin borne by various individuals and families, particularly in North America.
-
C.
Noroît
Noroît is a 1976 experimental French fantasy-revenge film by Jacques Rivette, loosely inspired by the play "The Revenger’s Tragedy" and noted for its theatrical, improvisational style.
-
D.
Boland
Boland is a rugby union region in South Africa whose teams and players are partly represented at the professional level by the Stormers franchise.
-
E.
Byfield
Byfield is a locality within the Shire of Keppel in Queensland, Australia, known for its coastal forests and proximity to national parkland.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15785347081908831b4cbc9a2dd45 |
completed | April 16, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3d3ef2881909213ff608192f1ef |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:54 a.m.