Triple
T6528251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pepel |
E151360
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | Papel people |
E151361
|
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: Papel people | Statement: [Pepel, alternativeName, Papel people]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Papel people Context triple: [Pepel, alternativeName, Papel people]
-
A.
Papel
chosen
Papel is an indigenous language of Guinea-Bissau spoken primarily by the Papel people in the coastal regions around Bissau.
-
B.
The Paper
The Paper is a 1994 American comedy-drama film directed by Ron Howard that follows the hectic, deadline-driven day at a New York City tabloid newspaper.
-
C.
Mr. Papers
Mr. Papers is a rapper best known for his on-and-off romantic relationship with hip-hop icon Lil' Kim.
-
D.
The People
The People is a British Sunday tabloid newspaper known for its popular journalism, human-interest stories, and coverage of celebrity and sports news.
-
E.
The People
"The People" is a politically charged hip-hop track by Common that reflects on social issues, community struggles, and empowerment.
- 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_69c687f522748190b3058405553cdabd |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ada9c8408190b1bc327985366be9 |
completed | March 27, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d52ca9988190addfdae6d7b53a6e |
completed | March 27, 2026, 7:06 p.m. |
Created at: March 27, 2026, 1:46 p.m.