Triple
T18232552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murphy Lee |
E436579
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Torhi Harper |
—
|
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: Torhi Harper | Statement: [Murphy Lee, birthName, Torhi Harper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Torhi Harper Context triple: [Murphy Lee, birthName, Torhi Harper]
-
A.
Torhi Harper
chosen
Torhi Harper is the birth name of Murphy Lee, an American rapper best known as a member of St. Lunatics and for his work with Nelly.
-
B.
Bayta Darell
Bayta Darell is a pivotal character in Isaac Asimov's Foundation series, known for her crucial role in thwarting the Mule's conquest in "Foundation and Empire."
-
C.
Ragen Hatcher
Ragen Hatcher is an American attorney and Democratic politician from Indiana who has served in the Indiana House of Representatives.
-
D.
Grace Hawkins
Grace Hawkins is the seemingly mild-mannered yet secretly murderous housekeeper at the center of the dark comedy film "Keeping Mum."
-
E.
Shae-Lynn Bourne
Shae-Lynn Bourne is a Canadian former ice dancer and renowned figure skating choreographer known for creating innovative, expressive programs for many of the world’s top skaters.
- 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f4b414308190bc7dd8e73c0a362c |
completed | April 19, 2026, 3:28 p.m. |
Created at: April 10, 2026, 10:33 a.m.