Triple
T4063392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I died for Beauty—but was scarce |
E86267
|
entity |
| Predicate | titleByFirstLine |
P38
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [I died for Beauty—but was scarce, titleByFirstLine, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleByFirstLine Context triple: [I died for Beauty—but was scarce, titleByFirstLine, true]
-
A.
titleOnTheLine
Indicates that a title or heading is positioned directly on a specific line (such as a line of text, a boundary, or a graphical line) rather than above, below, or separate from it.
-
B.
titles
Indicates that one entity holds a formal title, designation, or name associated with another entity.
-
C.
title
chosen
Indicates that one entity serves as the formal name or designation of another entity.
-
D.
textTitle
Indicates that one text entity serves as the title or heading for another text or resource.
-
E.
titleInEnglish
Indicates that an entity’s title or name is given in the English language.
- 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_69aed93c69208190a4efac0efe3cd69b |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefd0bdea48190805a79515ee92709 |
completed | March 9, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69aef90438908190a005b08ba271eacf |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:38 p.m.