Triple
T4728401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lazarus of Bethany |
E104942
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Bethany |
E117423
|
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: Bethany | Statement: [Lazarus of Bethany, residence, Bethany]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bethany Context triple: [Lazarus of Bethany, residence, Bethany]
-
A.
Bethany
Bethany is a small, rural town in south-central Connecticut known for its open spaces and residential character.
-
B.
Bethany
Bethany is the first name of Bethany Hamilton, the American professional surfer known for surviving a shark attack and returning to competitive surfing.
-
C.
Bethany
chosen
Bethany is a village near Jerusalem mentioned in the New Testament, traditionally known as the home of Mary, Martha, and Lazarus and a frequent place visited by Jesus.
-
D.
Medstead
Medstead is a rural village in Hampshire, England, known for its countryside setting and traditional English village character.
-
E.
Fairview
Fairview is a community in Alameda County, California, situated adjacent to the city of Hayward in the San Francisco Bay Area.
- 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_69bd43ed84648190ae0b7ee8e8d00482 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd644a0ef88190a46230446dfff635 |
completed | March 20, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be10a07bc8819086c29ec0b466ce2c |
completed | March 21, 2026, 3:29 a.m. |
Created at: March 20, 2026, 1:18 p.m.