Triple
T3039471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unetaneh Tokef |
E83089
|
entity |
| Predicate | historicalAttributionStatus |
P9909
|
FINISHED |
| Object | legendary |
—
|
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: legendary | Statement: [Unetaneh Tokef, historicalAttributionStatus, legendary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalAttributionStatus Context triple: [Unetaneh Tokef, historicalAttributionStatus, legendary]
-
A.
hasHistoricalAttribution
chosen
Indicates that something is credited, assigned, or linked to a person, group, or source based on historical records or tradition.
-
B.
historicalStatusOf
Indicates the historical condition, role, or classification that an entity held during a specific past period or context.
-
C.
historicalRecordStatus
Indicates the status or condition of a record within a historical or archival context (e.g., active, archived, revised, or obsolete).
-
D.
hasHistoricalEntity
Indicates a relationship where one entity includes, references, or is associated with another entity that existed or is defined in a past historical context.
-
E.
historicallyControlledBy
Indicates that an entity was under the control, rule, or governance of another entity during some period in the past.
- 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_69ad8b2298908190a7cb4e9bdbf064d0 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9b2fa52c8190a7860f762d5232ab |
completed | March 8, 2026, 3:52 p.m. |
| PD | Predicate disambiguation | batch_69ad961fc62c819087c4c3a44b00847d |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:01 p.m.