Triple
T158598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King David |
E3231
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Michal
Michal is a biblical figure, a daughter of King Saul who became the first wife of King David in the Hebrew Bible.
|
E22906
|
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: Michal | Statement: [King David, spouse, Michal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michal Context triple: [King David, spouse, Michal]
-
A.
Róbert
Róbert is a given name commonly used in various European countries, particularly in Hungary and Iceland, as a localized form of the name Robert.
-
B.
Emil
Emil is the given name of Carl Gustaf Emil Mannerheim, the renowned Finnish military leader and statesman who served as President of Finland.
-
C.
Adam Buksa
Adam Buksa is a Polish professional footballer and striker known for his goal-scoring spells with clubs such as New England Revolution and the Poland national team.
-
D.
Johan
Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
-
E.
Oskar
Oskar is a masculine given name of Germanic origin, commonly used in various European countries.
- 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: Michal Triple: [King David, spouse, Michal]
Generated description
Michal is a biblical figure, a daughter of King Saul who became the first wife of King David in the Hebrew Bible.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michal Target entity description: Michal is a biblical figure, a daughter of King Saul who became the first wife of King David in the Hebrew Bible.
-
A.
Róbert
Róbert is a given name commonly used in various European countries, particularly in Hungary and Iceland, as a localized form of the name Robert.
-
B.
Emil
Emil is the given name of Carl Gustaf Emil Mannerheim, the renowned Finnish military leader and statesman who served as President of Finland.
-
C.
Adam Buksa
Adam Buksa is a Polish professional footballer and striker known for his goal-scoring spells with clubs such as New England Revolution and the Poland national team.
-
D.
Johan
Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
-
E.
Oskar
Oskar is a masculine given name of Germanic origin, commonly used in various European countries.
- 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_69a2fa7ac14081908c0bf9512e85e18a |
completed | Feb. 28, 2026, 2:23 p.m. |
| NEDg | Description generation | batch_69a2fad96ad881909b4987ceaecbddc3 |
completed | Feb. 28, 2026, 2:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2fb30872c8190a68a49899b798c24 |
completed | Feb. 28, 2026, 2:26 p.m. |
Created at: Feb. 28, 2026, 2:31 a.m.