Triple
T6757987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earle Mack |
E154511
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Earle |
E34772
|
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: Earle | Statement: [Earle Mack, givenName, Earle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Earle Context triple: [Earle Mack, givenName, Earle]
-
A.
Earle
chosen
Earle is the middle name of Gordon E. Moore, the co-founder of Intel and originator of Moore’s Law.
-
B.
Earl
An Earl is a noble rank in the British and some European peerage systems, historically positioned below a marquess and above a viscount.
-
C.
Everette
Everette is the given first name of E. Howard Hunt, the American intelligence officer and author involved in the Watergate scandal.
-
D.
Irvin
Irvin is a surname most prominently associated with former NFL wide receiver and sports commentator Michael Irvin.
-
E.
LeRoy
LeRoy is the middle name of American political consultant and Republican strategist Lee Atwater.
- 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_69c6880fd5808190be684854081e27dd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d1f90b6c8190b4a17a23aa9ba0fb |
completed | March 27, 2026, 6:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c712ad568c8190bc82f6149c22273a |
completed | March 27, 2026, 11:28 p.m. |
Created at: March 27, 2026, 2:11 p.m.