Triple
T769931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | That Reminds Me |
E16257
|
entity |
| Predicate | hasSubtitle |
P1916
|
FINISHED |
| Object | memoir of Alben W. Barkley |
—
|
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: memoir of Alben W. Barkley | Statement: [That Reminds Me, hasSubtitle, memoir of Alben W. Barkley]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubtitle Context triple: [That Reminds Me, hasSubtitle, memoir of Alben W. Barkley]
-
A.
subtitleDFunction
Indicates a functional relationship where one entity serves as the subtitle or secondary textual label for another entity.
-
B.
subtitle
Indicates that one work serves as a secondary or explanatory title to another, typically appearing beneath the main title.
-
C.
hasIntertitlesLanguage
Indicates that the intertitles of a film or audiovisual work are presented in a specified language.
-
D.
hadTitle
Indicates that an entity held or was assigned a specific title or formal designation.
-
E.
hasSubsidiaryTitle
chosen
Indicates that an entity has an additional or secondary title formally associated with its main title.
- 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_69a49369a0848190af883934cee3db4c |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a70376988190be2826259f5281ab |
completed | March 1, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69a4a508c42c8190850a0ac7844a3ea9 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.