Triple
T22106188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Palmer |
E546291
|
entity |
| Predicate | hasCoauthoredWith |
P2389
|
FINISHED |
| Object | other Oceanic linguists |
—
|
LITERAL 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: other Oceanic linguists | Statement: [Bill Palmer, hasCoauthoredWith, other Oceanic linguists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoauthoredWith Context triple: [Bill Palmer, hasCoauthoredWith, other Oceanic linguists]
-
A.
hasCoauthor
chosen
Indicates that two or more entities have jointly authored the same work or publication.
-
B.
coAuthorAlsoWrote
Indicates that a person who is a co-author of one work also wrote another work, linking shared authorship across multiple creations.
-
C.
frequentlyCollaboratedWith
Indicates that two entities have worked together on shared activities or projects on a recurring or regular basis.
-
D.
hasCollaboratedIn
Indicates that two or more entities have worked together on a shared project, task, or activity.
-
E.
co-editedWith
Indicates that two or more entities jointly served as editors of the same work 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12919dd388190b8ca08e2464cb0b8 |
completed | April 28, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69e71b2ed7348190b6fa2e52f54393fb |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:30 p.m.