Triple
T23385836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alisa Reyes |
E593875
|
entity |
| Predicate | performerIn |
P17435
|
FINISHED |
| Object | One World |
E1583197
|
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: One World | Statement: [Alisa Reyes, performerIn, One World]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: One World Context triple: [Alisa Reyes, performerIn, One World]
-
A.
One World
One World is an imprint of Random House known for publishing socially engaged and culturally significant fiction and nonfiction.
-
B.
One World
"One World" is a dance-pop song by American singer Erin Hamilton that contributed to her recognition in the late 1990s club music scene.
-
C.
One World
chosen
One World is a television series best known for its diverse cast and focus on a multicultural adoptive family navigating everyday life.
-
D.
One World
"One World" is a song by the American new wave band Taboo, recognized for its blend of catchy melodies and socially conscious lyrics.
-
E.
One World
One World is a slogan and concept emphasizing global unity and shared humanity, often used in international events and campaigns promoting peace and cooperation.
- 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_69e25d2754fc819085deea939bde60ab |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a498286c8190abfa381649812cf0 |
completed | April 29, 2026, 6:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c67905f40819097c13ade0c16c85e |
completed | May 19, 2026, 1:37 p.m. |
Created at: April 17, 2026, 5:35 p.m.