Triple
T4246520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ali |
E95540
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Murphy Lee |
E99248
|
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: Murphy Lee | Statement: [Ali, associatedAct, Murphy Lee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Murphy Lee Context triple: [Ali, associatedAct, Murphy Lee]
-
A.
Murphy Lee
chosen
Murphy Lee is an American rapper best known as a member of the St. Lunatics crew and for his collaborations with fellow St. Louis artist Nelly.
-
B.
Billy Lee
Billy Lee is a manipulative and charismatic cult leader who plays a pivotal antagonistic role in the neo-noir thriller film "Bad Times at the El Royale."
-
C.
Dan Moore
Dan Moore is a fictional character appearing in the work "Cane."
-
D.
Alvin Lee McKee
Alvin Lee McKee was the husband of American actress Frances Farmer, known primarily for his connection to her tumultuous life and career.
-
E.
Sam O'Steen
Sam O'Steen was an acclaimed American film editor best known for his work on influential films such as "The Graduate," "Chinatown," and "Cool Hand Luke."
- 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_69b3453d91548190b4d4ef8fe52aa2ac |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e9b64ac81908dc44eaae6829b50 |
completed | March 12, 2026, 11:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5db80ab4481908b733572b6286b65 |
completed | March 14, 2026, 10:04 p.m. |
Created at: March 12, 2026, 11:05 p.m.