Triple
T21012848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Court Years, 1939–1975 |
E517593
|
entity |
| Predicate | isSecondVolumeOf |
P57460
|
FINISHED |
| Object | William O. Douglas memoirs |
—
|
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: William O. Douglas memoirs | Statement: [The Court Years, 1939–1975, isSecondVolumeOf, William O. Douglas memoirs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSecondVolumeOf Context triple: [The Court Years, 1939–1975, isSecondVolumeOf, William O. Douglas memoirs]
-
A.
isSecondEditionOf
Indicates that one entity is the second edition or version of another, typically representing a revised or updated form of the original.
-
B.
hasSecondEditionNumberOfVolumes
Indicates that an entity’s second edition consists of a specified number of volumes.
-
C.
secondVolume
chosen
Indicates that one entity is the second volume or installment in a multi-volume work or series relative to another entity.
-
D.
hasSecondSequel
Indicates that an entity has a second sequel, i.e., a third work in a series that continues its storyline or content.
-
E.
isSecondAutobiographyOf
Indicates that one work is the second autobiography written by or about a particular person.
- 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_69e0b50192308190a284fcc89dd23a49 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc41d57881908b9ab17d1844a8d0 |
completed | April 21, 2026, 4:25 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf274ac81909bbf245627dc8fdc |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 1:53 p.m.