Triple
T18372056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CTEA |
E446204
|
entity |
| Predicate | previousTermForCorporateWorks |
P56848
|
FINISHED |
| Object | 75 years from publication |
—
|
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: 75 years from publication | Statement: [CTEA, previousTermForCorporateWorks, 75 years from publication]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousTermForCorporateWorks Context triple: [CTEA, previousTermForCorporateWorks, 75 years from publication]
-
A.
previousCorporateTerm
chosen
Indicates that one corporate term or period of office directly preceded another in time.
-
B.
previousWorkInSeries
Indicates that one work directly precedes another within the same series or sequence.
-
C.
previousCorporateAffiliation
Indicates that an entity was formerly employed by, associated with, or part of a specified corporate organization before its current status or affiliation.
-
D.
composerPreviousWork
Indicates that a given work was created by the same composer before the referenced work, establishing a chronological relationship between the two compositions.
-
E.
previousWorkAfterHiatusOf
Indicates that one work directly follows and resumes activity after a hiatus or break from a previous work.
- 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51754539c819083f13b85cacb6cce |
completed | April 19, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69e44fed3fdc81908f4ed6a81db42416 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:44 a.m.