Triple
T6226100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lygia Pape |
E139237
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Eat Me |
E558935
|
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: Eat Me | Statement: [Lygia Pape, notableWork, Eat Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eat Me Context triple: [Lygia Pape, notableWork, Eat Me]
-
A.
Eat Me
chosen
Eat Me is a provocative 1975 experimental film and installation piece by Brazilian artist Lygia Pape that critiques consumer culture, sexuality, and the commodification of the female body.
-
B.
Eat It
"Eat It" is a 1984 comedy parody song by "Weird Al" Yankovic that humorously imitates Michael Jackson's "Beat It" by focusing on picky eating and food-related jokes.
-
C.
Eat My Heart Out
Eat My Heart Out is a darkly comic, feminist coming-of-age novel by British writer and critic Zoe Pilger that follows a young woman’s chaotic search for identity, love, and meaning in contemporary London.
-
D.
Eat Your Young
"Eat Your Young" is a 2023 song by Irish musician Hozier that blends soulful vocals with dark, socially charged lyrics.
-
E.
I Love to Eat
I Love to Eat was an early American cooking television show hosted by pioneering chef and food writer James Beard.
- 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.