Triple
T36590231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eric S. Roberts |
E902648
|
entity |
| Predicate | languageOfTextbooks |
P35318
|
FINISHED |
| Object | C |
—
|
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: C | Statement: [Eric S. Roberts, languageOfTextbooks, C]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfTextbooks Context triple: [Eric S. Roberts, languageOfTextbooks, C]
-
A.
languageOfBooks
chosen
Indicates the language in which the referenced books are written or published.
-
B.
languageOfSubjects
Indicates the language used by or associated with the subjects in question.
-
C.
typeOfTextbooks
Indicates a relationship where one entity specifies the category or kind of textbooks that another entity belongs to or uses.
-
D.
languageOfTeachings
Indicates the language in which teachings, lessons, or instructional content are delivered or expressed.
-
E.
languageOfWritings
Indicates that a specified language is the one in which certain writings or written works are composed.
- 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_69f76e6592e88190bac4eb00a46e9df9 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a01378bf05c8190af9f5e06a2810c7d |
completed | May 11, 2026, 1:57 a.m. |
| PD | Predicate disambiguation | batch_6a0137277c6c8190bcec341f2a0757c4 |
completed | May 11, 2026, 1:55 a.m. |
Created at: May 3, 2026, 4:11 p.m.