Triple
T37510127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sears Roebuck model homes |
E932193
|
entity |
| Predicate | catalogTitle |
P150004
|
FINISHED |
| Object | Book of Modern Homes and Building Plans |
—
|
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: Book of Modern Homes and Building Plans | Statement: [Sears Roebuck model homes, catalogTitle, Book of Modern Homes and Building Plans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: catalogTitle Context triple: [Sears Roebuck model homes, catalogTitle, Book of Modern Homes and Building Plans]
-
A.
titleOfBook
Indicates that one entity is the title assigned to a particular book.
-
B.
ACCtitles
Indicates that one entity holds or is associated with academic or professional titles conferred by another entity.
-
C.
hasCataloguedTitle
chosen
Indicates that an entity has a specific title recorded or listed in a catalog or cataloging system.
-
D.
titleInLanguage
Indicates that a specific title or name is expressed in a particular language.
-
E.
cultTitleOf
Indicates that the subject holds a religious or cultic title or honorific associated with the object.
- 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_69f76ec5268481909ea01c73aeeefd42 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbb084760c8190a1554985d3c3cb7a |
completed | May 6, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_69fbadf3cb548190ba3b7514f76b790a |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:17 p.m.