Triple
T33233418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Her Heart for a Compass |
E850760
|
entity |
| Predicate | hasEbookEdition |
P8017
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Her Heart for a Compass, hasEbookEdition, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEbookEdition Context triple: [Her Heart for a Compass, hasEbookEdition, true]
-
A.
hasPaperbackEdition
Indicates that one entity has a corresponding edition of itself that is published in paperback format.
-
B.
hasAudiobookVersion
Indicates that an entity has a corresponding version available in audiobook format.
-
C.
hasDigitalForm
chosen
Indicates that something exists or is available in a digital or electronic format.
-
D.
hasEditionAvailability
Indicates that a particular edition of an item is available in a specified form, location, or channel.
-
E.
hasEnglishEdition
Indicates that one entity has a version or edition of itself that is produced or available in the English language.
- 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_69f349613f988190a1eb75467d167122 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6dd3cc0648190a275812d6711275a |
completed | May 3, 2026, 5:29 a.m. |
| PD | Predicate disambiguation | batch_69f6d82eaee081908f06a71546315aea |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:31 a.m.