Triple
T21656162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hans P. Kraus |
E534471
|
entity |
| Predicate | dealtIn |
P84866
|
FINISHED |
| Object | rare printed books |
—
|
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: rare printed books | Statement: [Hans P. Kraus, dealtIn, rare printed books]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dealtIn Context triple: [Hans P. Kraus, dealtIn, rare printed books]
-
A.
servedAsHandTo
Indicates that one entity functioned as an assistant, aide, or subordinate support to another entity in carrying out tasks or responsibilities.
-
B.
isThroughDeck
Indicates that one object passes completely through another object or surface, extending from one side to the other.
-
C.
laterDealtWith
Indicates that one entity is addressed, handled, or resolved at a time subsequent to another entity.
-
D.
playsWithHand
Indicates that an entity performs an action or engages in an activity using its hand.
-
E.
hasDealingsIn
chosen
Indicates that an entity engages in activities, transactions, or business related to a particular domain, location, or subject.
- 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.