Triple
T21656166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hans P. Kraus |
E534471
|
entity |
| Predicate | reputationInField |
P87297
|
FINISHED |
| Object | authority on rare manuscripts |
—
|
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: authority on rare manuscripts | Statement: [Hans P. Kraus, reputationInField, authority on rare manuscripts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reputationInField Context triple: [Hans P. Kraus, reputationInField, authority on rare manuscripts]
-
A.
academicReputation
Indicates the perceived quality and standing of an entity within the academic community, based on factors like scholarly impact, prestige, and recognition.
-
B.
hasProfessionalReputationFor
chosen
Indicates that an entity is recognized by others as being notably associated with a particular professional quality, skill, or behavior.
-
C.
refersToPersonReputation
Indicates that something is about, concerns, or makes reference to a particular person's reputation.
-
D.
reputationWithinLDP
Indicates that an entity holds a particular reputation or standing within a specified Local Development Plan (LDP) context.
-
E.
reputationInSources
Indicates that an entity has a certain reputation or standing as reflected or reported in various information sources.
- 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_69e0c467e1f48190af2650b19175abc4 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef59185b208190a2cf4b8f54a2c231 |
completed | April 27, 2026, 12:39 p.m. |
| PD | Predicate disambiguation | batch_69e696826c3c81909270791e79760937 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:36 p.m.