Triple
T37704450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patriarcha |
E939161
|
entity |
| Predicate | viewOnFamilyAndState |
P193395
|
FINISHED |
| Object | equates political society with an extended family |
—
|
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: equates political society with an extended family | Statement: [Patriarcha, viewOnFamilyAndState, equates political society with an extended family]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewOnFamilyAndState Context triple: [Patriarcha, viewOnFamilyAndState, equates political society with an extended family]
-
A.
viewOnState
Indicates that one entity holds or expresses a particular opinion, stance, or perspective regarding a specific state or condition.
-
B.
viewOfFather
Indicates that one entity is a visual representation, depiction, or perspective specifically of a father.
-
C.
viewOnPerson
Indicates that one entity holds a particular opinion, perspective, or attitude toward another person.
-
D.
viewOnAuthority
Indicates how an entity perceives, evaluates, or relates to authority, including attitudes toward obedience, legitimacy, and power structures.
-
E.
viewOnHereafter
Indicates a subject’s beliefs, opinions, or perspective regarding the afterlife or what happens after death.
- F. None of above. chosen
Provenance (4 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_69f76edb49dc8190b951dce9ce6ef789 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd44474ed48190ac372e4c88d762ed |
completed | May 8, 2026, 2:02 a.m. |
| PD | Predicate disambiguation | batch_69fd41ef28a48190a66959be5c964461 |
completed | May 8, 2026, 1:52 a.m. |
| PDg | Predicate description generation | batch_69fd4445f8c08190bb2dc27e0971c55d |
completed | May 8, 2026, 2:02 a.m. |
Created at: May 3, 2026, 4:18 p.m.