Triple
T35501006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HarperTeen |
E1026004
|
entity |
| Predicate | hasImprintSiblings |
P187422
|
FINISHED |
| Object | Balzer + Bray |
—
|
NE NERFINISHED |
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: Balzer + Bray | Statement: [HarperTeen, hasImprintSiblings, Balzer + Bray]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasImprintSiblings Context triple: [HarperTeen, hasImprintSiblings, Balzer + Bray]
-
A.
hasSubImprint
Indicates that one imprint functions as a subordinate or subsidiary imprint under another imprint.
-
B.
isImprintOf
Indicates that one entity is a specific edition, printing, or imprint derived from another bibliographic entity.
-
C.
hasImprintVariant
Indicates that one imprint (a specific published form of a work) is a variant version of another imprint.
-
D.
hasParentImprint
Indicates that one publishing imprint is the parent or controlling imprint of another imprint.
-
E.
hasImprintType
Indicates that an entity (such as a publication or product) is associated with a specific type or category of imprint.
- F. None of above. chosen
Provenance (4 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_69f76dfc9c60819089c4217d93922615 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fb563aec448190875410fb1a3ed624 |
completed | May 6, 2026, 2:54 p.m. |
| PD | Predicate disambiguation | batch_69fb35b9ede881908aaae93a215525df |
completed | May 6, 2026, 12:36 p.m. |
| PDg | Predicate description generation | batch_69fb563a28d88190b28345c465c545f8 |
completed | May 6, 2026, 2:54 p.m. |
Created at: May 3, 2026, 4:04 p.m.