Triple
T30083888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Job's family |
E764547
|
entity |
| Predicate | hasNumberOfDaughtersBeforeCalamity |
P36852
|
FINISHED |
| Object | 3 |
—
|
LITERAL 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: 3 | Statement: [Job's family, hasNumberOfDaughtersBeforeCalamity, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfDaughtersBeforeCalamity Context triple: [Job's family, hasNumberOfDaughtersBeforeCalamity, 3]
-
A.
hasNumberOfDaughters
chosen
Indicates the specific count of daughters associated with a given entity.
-
B.
hasChildrenBeforeImmortality
Indicates that an entity had one or more children prior to becoming immortal.
-
C.
hasDaughters
Indicates that one entity is the parent of one or more female child entities (daughters).
-
D.
hasDaughterWith
Indicates that two entities share a parental relationship in which they have at least one daughter together.
-
E.
hasUnbornChildAtDeath
Indicates that, at the time of an individual’s death, they had at least one child who had been conceived but was not yet born.
- F. None of above.
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_69f22473c0fc8190a926a8051b3b378b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fd4d1854988190be093b103a681798 |
completed | May 8, 2026, 2:40 a.m. |
| PD | Predicate disambiguation | batch_69fd4c8d1a188190897c24527337814a |
completed | May 8, 2026, 2:38 a.m. |
Created at: April 29, 2026, 7:03 p.m.