Triple
T34021215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hāla |
E872386
|
entity |
| Predicate | historicityOfAuthorship |
P99875
|
FINISHED |
| Object | traditional attribution |
—
|
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: traditional attribution | Statement: [Hāla, historicityOfAuthorship, traditional attribution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicityOfAuthorship Context triple: [Hāla, historicityOfAuthorship, traditional attribution]
-
A.
historicityDebate
Indicates a debate or scholarly dispute over whether an event, figure, or narrative is historically factual or actually occurred.
-
B.
historiographicalStatus
chosen
Indicates the recognized standing or classification of something within historical writing or scholarship, such as how it is interpreted, debated, or valued by historians.
-
C.
historicAuthenticity
Indicates that something accurately reflects or preserves the genuine characteristics, context, and conditions of its historical period.
-
D.
historianAuthor
Indicates that one entity is the historian who authored or wrote the work represented by the other entity.
-
E.
authorshipEvidence
Indicates evidence or justification supporting a claim that one entity is the author or creator of another.
- 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_69f349a19ad88190ab586f010c804a8f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a0039c2d5d48190b8ef2c7ef17d8dc5 |
completed | May 10, 2026, 7:54 a.m. |
| PD | Predicate disambiguation | batch_6a0038e525448190a4c815f51595e78d |
completed | May 10, 2026, 7:51 a.m. |
Created at: May 1, 2026, 1:51 a.m.