Triple
T26483311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heaven Is for Real (2014 film) |
E664749
|
entity |
| Predicate | hasBookSourceAuthor |
P71864
|
FINISHED |
| Object | Todd Burpo |
—
|
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: Todd Burpo | Statement: [Heaven Is for Real (2014 film), hasBookSourceAuthor, Todd Burpo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBookSourceAuthor Context triple: [Heaven Is for Real (2014 film), hasBookSourceAuthor, Todd Burpo]
-
A.
hasAuthorOfSourceMaterial
chosen
Indicates that one entity is the creator or writer of the original source material on which another entity is based.
-
B.
hasAuthor
Indicates that an entity is written or created by a specific author.
-
C.
hasAuthorInCatalog
Indicates that an item in a catalog is associated with a specific author recorded in that catalog.
-
D.
hasAuthorOf
Indicates that one entity is the author or creator of another entity (such as a work, document, or publication).
-
E.
hasAuthorOfWorkSetThere
Indicates that the location is a setting in a work created by the specified author.
- 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_69ee883bc85481909885f92415cbce33 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f67f0488bc819089fbd2d2478158d3 |
completed | May 2, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69f67e3ed894819094c067c1ef624951 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 27, 2026, 12:28 a.m.