Triple
T38576219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Lives for Old |
E929409
|
entity |
| Predicate | disciplineOfAuthor |
P102843
|
FINISHED |
| Object | anthropology |
—
|
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: anthropology | Statement: [New Lives for Old, disciplineOfAuthor, anthropology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: disciplineOfAuthor Context triple: [New Lives for Old, disciplineOfAuthor, anthropology]
-
A.
academicFieldOfAuthor
chosen
Indicates the academic discipline or field in which an author conducts their scholarly work or produces publications.
-
B.
disciplineOfAwardedWork
Indicates the academic or professional field to which the work that received an award belongs.
-
C.
disciplineOfRecord
Indicates the specific field, subject area, or branch of knowledge in which something is formally recorded or recognized.
-
D.
studiedByDiscipline
Indicates that a subject (such as a phenomenon, object, or concept) is examined, analyzed, or researched within a particular academic or professional discipline.
-
E.
academicAdvisorOfAuthor
Indicates that one person serves as the academic advisor or mentor responsible for guiding the author in their scholarly or research activities.
- 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_69f76ebd2248819083978362d81fa35e |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdaa36f90819093f8661969990c7d |
completed | May 7, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fefc588190b063d7ea1ec87b07 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:32 p.m.