Triple
T14065039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben Haggerty |
E338444
|
entity |
| Predicate | notableAlias |
P39
|
FINISHED |
| Object | Professor Macklemore |
E119606
|
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: Professor Macklemore | Statement: [Ben Haggerty, notableAlias, Professor Macklemore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Professor Macklemore Context triple: [Ben Haggerty, notableAlias, Professor Macklemore]
-
A.
Macklemore
chosen
Macklemore is an American rapper and songwriter from Seattle, best known for hits like "Thrift Shop" and "Can't Hold Us" and his collaborations with producer Ryan Lewis.
-
B.
AJ McLean
AJ McLean is an American singer and performer best known as one of the original members and lead vocalists of the pop group Backstreet Boys.
-
C.
Jonathan Coulton
Jonathan Coulton is an American singer-songwriter known for his witty, geek-culture-inspired songs and contributions to projects like the video game Portal and various stage and screen works.
-
D.
Dean Sampson
Dean Sampson is the arrogant, manipulative antagonist in the teen romantic comedy film "She's All That."
-
E.
Mike Kellin
Mike Kellin was an American character actor known for his prolific work in film, television, and theater from the 1950s through the 1970s.
- 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5689c7f48190a47ca94eaa8a9ef9 |
completed | April 14, 2026, 3 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb669111081909ccd167f41571a00 |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:21 p.m.