Triple
T14065001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Macklemore |
E338444
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Ben Haggerty |
E338444
|
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: Ben Haggerty | Statement: [Macklemore, birthName, Ben Haggerty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben Haggerty Context triple: [Macklemore, birthName, Ben Haggerty]
-
A.
Ben Haggerty
chosen
Ben Haggerty, better known by his stage name Macklemore, is an American rapper and songwriter recognized for hits like "Thrift Shop" and "Can't Hold Us."
-
B.
Dan Haggerty
Dan Haggerty was an American actor best known for his portrayal of the gentle mountain man in the film and television series "The Life and Times of Grizzly Adams."
-
C.
Pat Haggerty
Pat Haggerty was a prominent NFL official best known for serving as the referee in multiple Super Bowls during his long officiating career.
-
D.
Ed Hartnett
Ed Hartnett is an American software developer best known as the creator and primary maintainer of the NetCDF-4 library widely used in scientific computing and data analysis.
-
E.
Frank Hackett
Frank Hackett is a ruthless, ratings-obsessed television executive in the 1976 film "Network," emblematic of the media’s turn toward sensationalism and exploitation.
- 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_69ffb02d84d881909aa8a1a3653d37bf |
completed | May 9, 2026, 10:07 p.m. |
Created at: April 9, 2026, 10:21 p.m.