Triple
T34272423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amir Tessler |
E879354
|
entity |
| Predicate | basedOnWorkAdaptationAppearedIn |
P73773
|
FINISHED |
| Object | "A Tale of Love and Darkness" by Amos Oz |
—
|
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: "A Tale of Love and Darkness" by Amos Oz | Statement: [Amir Tessler, basedOnWorkAdaptationAppearedIn, "A Tale of Love and Darkness" by Amos Oz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnWorkAdaptationAppearedIn Context triple: [Amir Tessler, basedOnWorkAdaptationAppearedIn, "A Tale of Love and Darkness" by Amos Oz]
-
A.
basedOnWorkAdaptedTo
Indicates that one work is derived from and adapted based on the content, story, or elements of another pre-existing work.
-
B.
basedOnWorkAdaptations
Indicates that one work is an adaptation derived from, or created on the basis of, another pre-existing work.
-
C.
basedOnAdaptationWorkedOn
Indicates that something is derived from or created based on an adaptation that a particular agent worked on.
-
D.
basedOnWorkAppearsIn
Indicates that one work is derived from or informed by another work in which it appears or is featured.
-
E.
basedOnWorkAppearedIn
chosen
Indicates that something is derived from, adapted from, or otherwise created using a work that appeared in a specified source or publication.
- 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_69f349b4f5fc819094b441d18e95e5f1 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fef3ceef648190b58027c93d757438 |
completed | May 9, 2026, 8:43 a.m. |
| PD | Predicate disambiguation | batch_69fef359da2c819091a034387b08821f |
completed | May 9, 2026, 8:42 a.m. |
Created at: May 1, 2026, 1:56 a.m.