Triple
T26553923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roger Godement |
E671751
|
entity |
| Predicate | areaOfTextbook |
P161722
|
FINISHED |
| Object | analysis |
—
|
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: analysis | Statement: [Roger Godement, areaOfTextbook, analysis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areaOfTextbook Context triple: [Roger Godement, areaOfTextbook, analysis]
-
A.
areaOfTextbook
Indicates the spatial extent or surface measurement associated with a textbook.
-
B.
areaOfTitle
Indicates the geographic or jurisdictional area covered or governed by a particular title.
-
C.
editionSize
Indicates the total number of copies or instances produced in a particular edition of something.
-
D.
notableTextbook
Indicates that a textbook is recognized as significant, influential, or widely used within its field or subject area.
-
E.
book2Subject
Indicates that an entity serves as the subject or topic that a given book is about.
- 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_69eeb32163f08190af5f81282738e27a |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f622abdfac8190988421c946411d7e |
completed | May 2, 2026, 4:13 p.m. |
| PD | Predicate disambiguation | batch_69f620debeb48190b7db395fb86cf8d9 |
completed | May 2, 2026, 4:05 p.m. |
| PDg | Predicate description generation | batch_69f621fbfc2c8190bfa802d7dc0f6aa4 |
completed | May 2, 2026, 4:10 p.m. |
Created at: April 27, 2026, 1:48 a.m.