Triple
T6226080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lygia Pape |
E139237
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Pape |
E558928
|
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: Pape | Statement: [Lygia Pape, familyName, Pape]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pape Context triple: [Lygia Pape, familyName, Pape]
-
A.
Pape
chosen
Pape is the surname of Lygia Pape, a prominent Brazilian artist associated with the Neo-Concrete movement.
-
B.
Papaleo
Papaleo is the Italian surname of legendary American featherweight boxing champion Willie Pep, born Guglielmo Papaleo.
-
C.
Will Pope
Will Pope is a high-ranking, politically savvy LAPD commander featured in the crime drama series "The Closer," portrayed by actor J.K. Simmons.
-
D.
Pico Basilé
Pico Basilé is a prominent volcanic mountain in Equatorial Guinea, known as the tallest peak on Bioko Island and in the entire country.
-
E.
Pope Cody
Pope Cody is a central, emotionally volatile member of the Cody crime family in the TV series "Animal Kingdom," known for his intense loyalty, inner turmoil, and complicated relationship with his relatives.
- 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_69c008afd3148190b71e9eaa60420dd1 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062d42c688190be4d8d8325d6daaa |
completed | March 22, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c20dd3dc5c8190bf48da3a90863727 |
completed | March 24, 2026, 4:06 a.m. |
Created at: March 22, 2026, 4:22 p.m.