Triple
T27202665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Youth |
E683774
|
entity |
| Predicate | hasTitleInOriginalWork |
P172355
|
FINISHED |
| Object | First Youth |
—
|
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: First Youth | Statement: [First Youth, hasTitleInOriginalWork, First Youth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTitleInOriginalWork Context triple: [First Youth, hasTitleInOriginalWork, First Youth]
-
A.
hasOriginalPaperTitle
Indicates that an entity (such as a publication or work) is associated with the title it originally had when first created or published.
-
B.
originalTitleOfWork
Indicates that one work is the original title under which another work was first created, published, or released.
-
C.
originallyTitleOf
Indicates that one title is the original title from which another work, edition, or localized title is derived.
-
D.
fromWorkOriginalTitle
Indicates that an entity originates from or is based on a work whose original title is the one specified.
-
E.
hasOriginalTitleMeaning
Indicates that an entity’s original title conveys or is associated with a particular meaning or interpretation.
- 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_69eefad1fd5c8190a4a46ea6afe58bfa |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f6abe15d5c81909ccf4ce37f78bc43 |
completed | May 3, 2026, 1:58 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1c555081908787dbf76147f180 |
completed | May 3, 2026, 1:51 a.m. |
| PDg | Predicate description generation | batch_69f6aaf31a548190b2f792ff4b8c002a |
completed | May 3, 2026, 1:54 a.m. |
Created at: April 27, 2026, 9:36 a.m.