Triple
T19551564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Genesis (album) |
E489208
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Mama |
—
|
NE NERFINISHED |
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: Mama | Statement: [Genesis (album), hasPart, Mama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mama Context triple: [Genesis (album), hasPart, Mama]
-
A.
Mama
Mama is a key supporting character in the video game "Death Stranding," a brilliant yet tragic scientist who aids protagonist Sam Porter Bridges with her expertise in chiral technology.
-
B.
Mama
chosen
"Mama" is a dark, emotionally intense 1983 song by the English rock band Genesis, known for its haunting atmosphere and Phil Collins's distinctive vocal delivery.
-
C.
Mama
"Mama" is a popular Afrobeats song by Nigerian producer and songwriter Kiddominant.
-
D.
Mama
Mama is one of the four main playable protagonists in the Japanese Famicom platform game Yume Kōjō: Doki Doki Panic, later adapted into Super Mario Bros. 2.
-
E.
Mama
Mama is a monumental wooden sculpture by contemporary artist Ursula von Rydingsvard, known for her large-scale, hand-carved cedar works that evoke organic and architectural forms.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63d30a1d8819084d1bc60a5e49cae |
completed | April 20, 2026, 2:50 p.m. |
Created at: April 10, 2026, 1:41 p.m.