Triple
T9168248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ayyub |
E220018
|
entity |
| Predicate | nameInEnglish |
P3437
|
FINISHED |
| Object |
Job
Job is a biblical figure renowned for his unwavering faith and patience amid extreme suffering, as depicted in the Book of Job in the Hebrew Bible and Christian Old Testament.
|
E782403
|
NE FINISHED |
How this triple was built (4 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: Job | Statement: [Ayyub, nameInEnglish, Job]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Job Context triple: [Ayyub, nameInEnglish, Job]
-
A.
Job
Job is a religious-themed painting by French artist Léon Bonnat depicting the biblical figure Job in a moment of intense suffering and spiritual trial.
-
B.
Job
"Job" is a choral-orchestral work by British composer Peter Maxwell Davies, reflecting his distinctive modernist style and often drawing on religious and dramatic themes.
-
C.
Hiob
Hiob is the surname of Hanne Hiob, a German actress and daughter of the playwright Bertolt Brecht.
-
D.
The Job
The Job is a film featuring actor John Ortiz in a significant role.
-
E.
The Job
The Job is a television series produced by DreamWorks Television, best known as a darkly comedic workplace drama centered on the personal and professional struggles of its main characters.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Job Triple: [Ayyub, nameInEnglish, Job]
Generated description
Job is a biblical figure renowned for his unwavering faith and patience amid extreme suffering, as depicted in the Book of Job in the Hebrew Bible and Christian Old Testament.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Job Target entity description: Job is a biblical figure renowned for his unwavering faith and patience amid extreme suffering, as depicted in the Book of Job in the Hebrew Bible and Christian Old Testament.
-
A.
Job
Job is a religious-themed painting by French artist Léon Bonnat depicting the biblical figure Job in a moment of intense suffering and spiritual trial.
-
B.
Job
"Job" is a choral-orchestral work by British composer Peter Maxwell Davies, reflecting his distinctive modernist style and often drawing on religious and dramatic themes.
-
C.
Hiob
Hiob is the surname of Hanne Hiob, a German actress and daughter of the playwright Bertolt Brecht.
-
D.
The Job
The Job is a film featuring actor John Ortiz in a significant role.
-
E.
The Job
The Job is a television series produced by DreamWorks Television, best known as a darkly comedic workplace drama centered on the personal and professional struggles of its main characters.
- F. None of above. chosen
Provenance (5 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_69ca83e467108190abcae6a33b3d4dad |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccaadfb50881909b9127f92e4b3e21 |
completed | April 1, 2026, 5:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05491ccec819093fcf2d764c5381b |
completed | April 4, 2026, midnight |
| NEDg | Description generation | batch_69d05628d8708190a85437c5051a5a05 |
completed | April 4, 2026, 12:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d056e4ad98819086e73edf15aa6210 |
completed | April 4, 2026, 12:10 a.m. |
Created at: March 30, 2026, 7:22 p.m.