Triple
T18502955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hard Core |
E452124
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object | Left Eye |
—
|
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: Left Eye | Statement: [Hard Core, featuresArtist, Left Eye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Left Eye Context triple: [Hard Core, featuresArtist, Left Eye]
-
A.
Lisa "Left Eye" Lopes
chosen
Lisa "Left Eye" Lopes was an American rapper, singer, and songwriter best known as a member of the Grammy-winning R&B/hip-hop group TLC.
-
B.
Mýa
Mýa is an American R&B singer, songwriter, and dancer known for late-1990s and early-2000s hits like "Case of the Ex" and her feature on "Lady Marmalade."
-
C.
Sisqó
Sisqó is an American R&B singer, songwriter, and producer best known as the flamboyant frontman of Dru Hill and for his solo hit "Thong Song."
-
D.
Belinda
Belinda is a central female character in John Vanbrugh’s Restoration comedy "The Provoked Wife," known for her wit and involvement in the play’s marital and social intrigues.
-
E.
Belinda
Belinda is a lively, hot-tempered but good-hearted schoolgirl character from Enid Blyton’s Malory Towers series.
- 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_69d8d3855d50819097fc8561b0299dd9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e532c6384c819091f061c8538f6ca1 |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 11:36 a.m.