Triple
T3514604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frigg |
E74275
|
entity |
| Predicate | usuallyDoesNotReveal |
P40931
|
FINISHED |
| Object | her foreknowledge |
—
|
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: her foreknowledge | Statement: [Frigg, usuallyDoesNotReveal, her foreknowledge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usuallyDoesNotReveal Context triple: [Frigg, usuallyDoesNotReveal, her foreknowledge]
-
A.
keepsSecretAbout
Indicates that one entity intentionally withholds or conceals information regarding another specified entity or topic from others.
-
B.
notTypically
chosen
Indicates that the referenced situation, behavior, or relationship does not usually or normally occur under standard or expected conditions.
-
C.
doesNot
Indicates that a specified entity lacks, refrains from, or fails to perform a particular action or exhibit a particular property in relation to another entity or context.
-
D.
ultimatelyDoesNot
Indicates that, despite any preceding conditions or possibilities, the referenced entity or action does not in the end occur, hold, or get carried out.
-
E.
doesNotFullyExplain
Indicates that one entity’s explanation of another entity, event, or situation is incomplete or insufficient to account for it fully.
- 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_69ad85cfb5c881909c9a2edd9d6043cc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc2efa4c8190ac1ca221f3f0eba4 |
completed | March 8, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69adae10689c8190b7dc6d7daa8295b6 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:19 p.m.