Triple
T35115676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bildad |
E1013427
|
entity |
| Predicate | secondSpeechLocation |
P116861
|
FINISHED |
| Object | Job 18 |
—
|
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: Job 18 | Statement: [Bildad, secondSpeechLocation, Job 18]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondSpeechLocation Context triple: [Bildad, secondSpeechLocation, Job 18]
-
A.
thirdSpeechLocation
Indicates the location where the third instance of a speech or utterance occurs in a sequence of speaking events.
-
B.
secondSpeechFocus
Indicates that the second mentioned speech segment or utterance is the primary focus or target of attention in the described context.
-
C.
secondEventLocation
chosen
Indicates the location where the second event in a sequence takes place.
-
D.
secondPhaseLocation
Indicates the location where the second phase of an event, process, or operation takes place.
-
E.
secondPartPremiereLocation
Indicates the location where the second part of something (such as a work, event, or series) first premiered or was initially presented.
- 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_69f76dd659d08190bcdc00d37caafb62 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff3b32ee148190a3ba3b7600943fef |
completed | May 9, 2026, 1:48 p.m. |
| PD | Predicate disambiguation | batch_69ff3a238af88190a2c2245e30299e48 |
completed | May 9, 2026, 1:44 p.m. |
Created at: May 3, 2026, 4:01 p.m.