Triple
T23156935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Long |
E578464
|
entity |
| Predicate | shortFormOf |
P43
|
FINISHED |
| Object | Michael Long |
—
|
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: Michael Long | Statement: [Mike Long, shortFormOf, Michael Long]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Long Context triple: [Mike Long, shortFormOf, Michael Long]
-
A.
Michael Long
chosen
Michael Long is a relatively common personal name shared by multiple individuals across various professions, including sports, academia, and the arts.
-
B.
Michael James
Michael James is an American musician best known as the bassist and multi-instrumentalist for the instrumental rock band Explosions in the Sky.
-
C.
Michael James
Michael James is the womanizing psychiatrist protagonist of the 1965 romantic comedy film "What’s New Pussycat?".
-
D.
Michael Gibbons
Michael Gibbons is a music producer best known for his work on the album "Purple on Time."
-
E.
Chris Murray
Chris Murray is a physician and health researcher best known for founding and directing the Institute for Health Metrics and Evaluation (IHME) and leading the Global Burden of Disease study.
- 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_69e245fb8de081908f0eba7b5fd75bc4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18efe1b0081908e81b757d64c067c |
completed | April 29, 2026, 4:54 a.m. |
Created at: April 17, 2026, 4:01 p.m.