Triple
T19965032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Poetess |
E479908
|
entity |
| Predicate | refersToByReputation |
P78687
|
FINISHED |
| Object | “the” exemplary woman poet |
—
|
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: “the” exemplary woman poet | Statement: [The Poetess, refersToByReputation, “the” exemplary woman poet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: refersToByReputation Context triple: [The Poetess, refersToByReputation, “the” exemplary woman poet]
-
A.
refersToPersonReputation
Indicates that something is about, concerns, or makes reference to a particular person's reputation.
-
B.
hasReputationAmong
Indicates that an entity is regarded or perceived in a particular way by a specified group or audience.
-
C.
denotesReputationOf
chosen
Indicates that one entity represents, expresses, or serves as an indicator of the reputation or perceived standing of another entity.
-
D.
associatedWithReputation
Indicates a relationship where an entity is linked to, influenced by, or characterized in terms of another entity’s reputation or perceived standing.
-
E.
reputationBuiltFor
Indicates that one entity has established or developed a reputation specifically for or in relation to another entity.
- 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65bc4417c8190912f3d85fd7a5a32 |
completed | April 20, 2026, 5 p.m. |
| PD | Predicate disambiguation | batch_69e537f7e4848190b431a69ec3f1b609 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:54 p.m.