Triple
T8994977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francis W. Sears |
E214880
|
entity |
| Predicate | citationRecord |
P86219
|
FINISHED |
| Object | highly cited in physics education literature |
—
|
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: highly cited in physics education literature | Statement: [Francis W. Sears, citationRecord, highly cited in physics education literature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: citationRecord Context triple: [Francis W. Sears, citationRecord, highly cited in physics education literature]
-
A.
citationBy
Indicates that one work is cited or referenced by another work.
-
B.
citationSystem
Indicates a relationship where one entity specifies or uses a particular system, style, or standard for formatting and managing citations.
-
C.
citationNumber
Indicates the specific numeric identifier assigned to a citation within a document or reference list.
-
D.
citationKey
Indicates a unique identifier assigned to a specific citation or bibliographic reference within a collection of references.
-
E.
citationAs
Indicates that one entity is cited or referenced in the role or capacity specified by another entity (such as a particular work, version, or context).
- F. None of above. chosen
Provenance (4 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_69ca83a05c608190bdfdbdb25e994b39 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc68ddff288190869731df2c178ff6 |
completed | April 1, 2026, 12:37 a.m. |
| PD | Predicate disambiguation | batch_69cc5edba0f88190b97401636a076d7a |
completed | March 31, 2026, 11:55 p.m. |
| PDg | Predicate description generation | batch_69cc5febd0a08190b2de6fb422343001 |
completed | March 31, 2026, 11:59 p.m. |
Created at: March 30, 2026, 7:04 p.m.