Triple
T35115675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bildad |
E1013427
|
entity |
| Predicate | firstSpeechLocation |
P206841
|
FINISHED |
| Object | Job 8 |
E782403
|
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 8 | Statement: [Bildad, firstSpeechLocation, Job 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstSpeechLocation Context triple: [Bildad, firstSpeechLocation, Job 8]
-
A.
firstLocation
Indicates the initial or primary place where an entity is situated, originates, or where an event or relationship begins.
-
B.
firstSpeechFocus
Indicates that the referenced entity is the primary or initial focus or topic of attention in a given speech or utterance.
-
C.
thirdSpeechLocation
Indicates the location where the third instance of a speech or utterance occurs in a sequence of speaking events.
-
D.
firstAppearsAtLocation
Indicates the initial location where an entity is first observed, introduced, or comes into existence within a given context or sequence.
-
E.
firstSeriesLocation
Indicates the location where a series first took place, was set, or was initially released.
- 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_69f76dd659d08190bcdc00d37caafb62 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a37d00358c8819081d585f1674925e6 |
completed | June 21, 2026, 11:50 a.m. |
| PD | Predicate disambiguation | batch_6a037a016960819093ed4990fb4d9d36 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82179081908325a59b8539b3a8 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:01 p.m.