Triple
T28169511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jerusalem: A Cookbook |
E715416
|
entity |
| Predicate | coAuthorBackground |
P164403
|
FINISHED |
| Object | Yotam Ottolenghi grew up in West Jerusalem |
—
|
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: Yotam Ottolenghi grew up in West Jerusalem | Statement: [Jerusalem: A Cookbook, coAuthorBackground, Yotam Ottolenghi grew up in West Jerusalem]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coAuthorBackground Context triple: [Jerusalem: A Cookbook, coAuthorBackground, Yotam Ottolenghi grew up in West Jerusalem]
-
A.
hasCoauthorBackground
Indicates that two or more coauthors share a specified background, such as educational, professional, cultural, or experiential context.
-
B.
coAuthorOccupation
Indicates that two or more co-authors share the same or closely related professional occupation.
-
C.
coAuthorField
Indicates that two or more entities have jointly authored a work within the same academic or professional field.
-
D.
hasAuthorBackgroundIn
Indicates that an author possesses a particular background, such as education, experience, or expertise, in a specified field or domain.
-
E.
coAuthorAlsoWrote
Indicates that a person who is a co-author of one work also wrote another work, linking shared authorship across multiple creations.
- 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_69efd6b340f0819095680e15dcdc1830 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f644de4a84819087ddb84757fc4585 |
completed | May 2, 2026, 6:39 p.m. |
| PD | Predicate disambiguation | batch_69f641def1e88190a05bf865ced78b23 |
completed | May 2, 2026, 6:26 p.m. |
| PDg | Predicate description generation | batch_69f643e818d481908fc66bc91bd25d77 |
completed | May 2, 2026, 6:35 p.m. |
Created at: April 27, 2026, 10:11 p.m.