Triple
T37974647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dame Ragnelle |
E947387
|
entity |
| Predicate | revealsAnswerTo |
P89787
|
FINISHED |
| Object | what women most desire |
—
|
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: what women most desire | Statement: [Dame Ragnelle, revealsAnswerTo, what women most desire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: revealsAnswerTo Context triple: [Dame Ragnelle, revealsAnswerTo, what women most desire]
-
A.
revealsThat
Indicates that one entity discloses, exposes, or makes known some information, fact, or state of affairs about another entity or situation.
-
B.
revealedSecretOf
Indicates that one entity has disclosed or exposed confidential or previously unknown information belonging to another entity.
-
C.
isRevealedIn
Indicates that something becomes known, disclosed, or made apparent within a particular context, medium, or situation.
-
D.
triesToRevealTruthTo
Indicates an attempt by one entity to make another entity aware of what it believes to be the true facts or reality of a situation.
-
E.
isRevealedTo
chosen
Indicates that previously hidden or unknown information becomes known to a specific entity or group.
- 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_69f76ef7db908190bba6086673a32300 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc995dc2481908b3bd4217f8101e7 |
completed | May 6, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ee04f08190977b7ad70fc85896 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:20 p.m.