Triple
T37268201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bravo word processor |
E924442
|
entity |
| Predicate | inResearchContext |
P5064
|
FINISHED |
| Object | Xerox PARC user interface experiments |
—
|
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: Xerox PARC user interface experiments | Statement: [Bravo word processor, inResearchContext, Xerox PARC user interface experiments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inResearchContext Context triple: [Bravo word processor, inResearchContext, Xerox PARC user interface experiments]
-
A.
researchContext
chosen
Indicates the situational, methodological, or thematic setting within which a particular piece of research is conducted or interpreted.
-
B.
coResearcher
Indicates that two or more individuals collaborate as peers on the same research work or project.
-
C.
coordinatesResearchOn
Indicates that one entity organizes and directs the planning, execution, and integration of research activities involving another entity.
-
D.
usedResearchFrom
Indicates that one entity based its work, findings, or outputs on research conducted or provided by another entity.
-
E.
researchTopic
Indicates that a subject conducts or focuses research on a particular topic or area of study.
- 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_69f76eacdd8c819094080d3991e6d37c |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb78cbef988190b8f79d946b46e6b2 |
completed | May 6, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9ac5a08190b24ef308963fc52b |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:15 p.m.