Triple
T26776476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argentine national anthem |
E670131
|
entity |
| Predicate | originalLyricsCharacter |
P193291
|
FINISHED |
| Object | anti-Spanish |
—
|
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: anti-Spanish | Statement: [Argentine national anthem, originalLyricsCharacter, anti-Spanish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalLyricsCharacter Context triple: [Argentine national anthem, originalLyricsCharacter, anti-Spanish]
-
A.
lyricalCharacter
Indicates that one entity is the character or persona expressed or portrayed in the lyrics of the other entity (such as a song or poem).
-
B.
originalPerformerCharacter
Indicates that a performer is the first or primary actor to portray a particular character in a work.
-
C.
lyricCharacterization
Indicates how the lyrics portray, describe, or characterize a subject within a song or musical work.
-
D.
lyricAddressee
Indicates that one entity is the person or thing being directly addressed in the lyrics of a song by another entity.
-
E.
hasLyricCharacter
Indicates that a musical work or song includes a specific character or persona within its lyrics.
- 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_69eeb31c925881909b597f6e40056d28 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69fd4129a8848190a5002150278ac689 |
completed | May 8, 2026, 1:49 a.m. |
| PD | Predicate disambiguation | batch_69fd3e0515ec8190937c7af71ebc3875 |
completed | May 8, 2026, 1:36 a.m. |
| PDg | Predicate description generation | batch_69fd4128ed908190837ec9936774a1cf |
completed | May 8, 2026, 1:49 a.m. |
Created at: April 27, 2026, 4:05 a.m.