Triple
T12825663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Us |
E306643
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Red |
E681770
|
NE 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: Red | Statement: [Us, mainCharacter, Red]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Red Context triple: [Us, mainCharacter, Red]
-
A.
Red
Red is Taylor Swift’s critically acclaimed 2012 studio album that marked her transition from country to mainstream pop with emotionally charged, genre-blending songs.
-
B.
Red
chosen
Red is a major character from the Pokémon franchise, known as the silent, highly skilled Pokémon Trainer who serves as the protagonist of the original games and a legendary opponent in later titles.
-
C.
Red
Red is Virgin America’s signature in-flight entertainment system, offering passengers on-demand movies, TV, music, games, and other interactive services.
-
D.
Red
"Red" is a 1974 progressive rock album by King Crimson, renowned for its heavy, experimental sound and lasting influence on the genre.
-
E.
Red
"Red" is a song featured on the album *Careful Confessions* by singer-songwriter Sara Bareilles.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d7bdf46c448190b1faa55aaacb6317 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96facb2d48190bc12efc00c9da360 |
completed | April 10, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68ed4f7388190ba989b8a79bd7c6d |
completed | May 2, 2026, 11:55 p.m. |
Created at: April 9, 2026, 5:33 p.m.