Triple
T20231703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Howard S. Becker |
E495540
|
entity |
| Predicate | coAuthor |
P398
|
FINISHED |
| Object | Anselm L. Strauss |
—
|
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: Anselm L. Strauss | Statement: [Howard S. Becker, coAuthor, Anselm L. Strauss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anselm L. Strauss Context triple: [Howard S. Becker, coAuthor, Anselm L. Strauss]
-
A.
Anselm Strauss
chosen
Anselm Strauss was an American sociologist best known for co-developing grounded theory and for his influential work in symbolic interactionism and medical sociology.
-
B.
Herbert Blumer
Herbert Blumer was an American sociologist best known for coining the term "symbolic interactionism" and significantly shaping the Chicago School of sociology.
-
C.
Peter E. Berger
Peter E. Berger is a film editor best known for his work on movies such as "Agnes of God."
-
D.
Neil J. Smelser
Neil J. Smelser was an influential American sociologist known for his work on social theory, economic sociology, and collective behavior.
-
E.
Norman H. Nie
Norman H. Nie was an American political scientist and social researcher best known as a co-creator of the SPSS statistical software and for his influential work on political participation and survey research.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66fddafac819089cef4158f5e0ab5 |
completed | April 20, 2026, 6:26 p.m. |
Created at: April 11, 2026, 11:39 p.m.