Triple
T4010850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernard Lazare |
E90639
|
entity |
| Predicate | wrote |
P2831
|
FINISHED |
| Object | Job |
E19383
|
NE FINISHED |
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: Job | Statement: [Bernard Lazare, wrote, Job]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Job Context triple: [Bernard Lazare, wrote, 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.
The Job
The Job is a film featuring actor John Ortiz in a significant role.
-
C.
Book of Job
chosen
The Book of Job is a biblical text that explores human suffering, divine justice, and faith through the story of a righteous man tested by extreme adversity.
-
D.
The Sire of Sorrow (Job's Sad Song)
"The Sire of Sorrow (Job's Sad Song)" is a contemplative, biblically inspired song by Joni Mitchell that reflects on the suffering and spiritual struggle of the figure of Job.
-
E.
Jobes
Jobes is an alternative spelling variant of the surname Jobs, most notably associated by similarity with Apple co-founder Steve Jobs.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69aed95e44088190aff7d90a151b1b20 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa86c92c81908d8a610b14e22131 |
completed | March 9, 2026, 4:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c6df2e88190b6fd58bd8102d62a |
completed | March 14, 2026, 11:54 a.m. |
Created at: March 9, 2026, 3:34 p.m.