Triple
T7611364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eliam |
E172243
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Bathsheba |
E32067
|
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: Bathsheba | Statement: [Eliam, associatedWith, Bathsheba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bathsheba Context triple: [Eliam, associatedWith, Bathsheba]
-
A.
Bathsheba
chosen
Bathsheba is a prominent biblical figure known as the wife of King David and the mother of King Solomon.
-
B.
Betsy Drake
Betsy Drake was an American actress and writer best known for her film work in the late 1940s and 1950s and for her influential role in the life and career of Cary Grant.
-
C.
Ambrosine Phillpotts
Ambrosine Phillpotts was a British character actress known for her numerous supporting roles in mid-20th-century film, theatre, and television.
-
D.
Susanna
Susanna is a deuterocanonical addition to the Book of Daniel, telling the story of a virtuous woman falsely accused of adultery and vindicated by the prophet Daniel.
-
E.
Susanna
Susanna is a feminine given name of Hebrew origin, commonly used in various European languages and cultures.
- 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_69c6994f50808190ba228764bb422417 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa221c848190b892ba1caec8d83a |
completed | March 27, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8a20f6a288190befdc1063e4aa72c |
completed | March 29, 2026, 3:52 a.m. |
Created at: March 27, 2026, 3:55 p.m.