Triple
T14808803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joy Turner |
E348114
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Earl Hickey |
E393122
|
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: Earl Hickey | Statement: [Joy Turner, spouse, Earl Hickey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Earl Hickey Context triple: [Joy Turner, spouse, Earl Hickey]
-
A.
Earl Hickey
chosen
Earl Hickey is the bumbling, well-meaning protagonist of the sitcom "My Name Is Earl," who devotes himself to making amends for his past misdeeds through a self-imposed karmic to-do list.
-
B.
John J. Eagan
John J. Eagan was a New Jersey politician who served as a Democratic U.S. Representative in the early 20th century.
-
C.
Earl Jowitt
Earl Jowitt was the noble title held by William Jowitt, a prominent British Labour politician and Lord Chancellor in the mid-20th century.
-
D.
Earl Hurd
Earl Hurd was an American animator, director, and writer best known as a pioneer of cel animation and an influential early figure in the development of animated films.
-
E.
Sylvester Keliher
Sylvester Keliher was a prominent labor leader associated with the American Railway Union, an influential early industrial union in the United States.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decf35a5e081909321193ef37099d1 |
completed | April 14, 2026, 11:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff453e3d3081909f6b6e8b67a824ac |
completed | May 9, 2026, 2:31 p.m. |
Created at: April 10, 2026, 1:45 a.m.