Triple
T158599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King David |
E3231
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Bathsheba
Bathsheba is a prominent biblical figure known as the wife of King David and the mother of King Solomon.
|
E32067
|
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: Bathsheba | Statement: [King David, spouse, Bathsheba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bathsheba Context triple: [King David, spouse, Bathsheba]
-
A.
Margaret
Margaret is a feminine given name of Greek origin, traditionally associated with the meaning "pearl" and widely used in English-speaking countries.
-
B.
Elizabeth Eldridge
Elizabeth Eldridge was the wife of Salem Village minister Samuel Parris, associated with the period of the Salem witch trials in late 17th-century Massachusetts.
-
C.
Abigail
Abigail is a feminine given name of Hebrew origin meaning "my father is joy," historically popular in English-speaking countries.
-
D.
Tessie
Tessie is a Boston Red Sox mascot character, often depicted as a green monster and associated with Wally the Green Monster.
-
E.
Barbara
Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
- 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: Bathsheba Triple: [King David, spouse, Bathsheba]
Generated description
Bathsheba is a prominent biblical figure known as the wife of King David and the mother of King Solomon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bathsheba Target entity description: Bathsheba is a prominent biblical figure known as the wife of King David and the mother of King Solomon.
-
A.
Margaret
Margaret is a feminine given name of Greek origin, traditionally associated with the meaning "pearl" and widely used in English-speaking countries.
-
B.
Elizabeth Eldridge
Elizabeth Eldridge was the wife of Salem Village minister Samuel Parris, associated with the period of the Salem witch trials in late 17th-century Massachusetts.
-
C.
Abigail
Abigail is a feminine given name of Hebrew origin meaning "my father is joy," historically popular in English-speaking countries.
-
D.
Tessie
Tessie is a Boston Red Sox mascot character, often depicted as a green monster and associated with Wally the Green Monster.
-
E.
Barbara
Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
- 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_69a2527757ec819090b8becb2cf1a862 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a2583169a0819081b658882e5bc452 |
completed | Feb. 28, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3736b2ff081909a5b36a93fa16130 |
completed | Feb. 28, 2026, 10:59 p.m. |
| NEDg | Description generation | batch_69a3741398148190b33de6d93ccc0725 |
completed | Feb. 28, 2026, 11:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3746ba85c8190bd45c2a5717317dc |
completed | Feb. 28, 2026, 11:04 p.m. |
Created at: Feb. 28, 2026, 2:31 a.m.