Triple
T6157102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George McGinnis |
E137348
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
McGinnis
McGinnis is a surname most notably associated with George McGinnis, a former professional basketball player and Hall of Famer.
|
E573235
|
NE FINISHED |
How this triple was built (4 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: McGinnis | Statement: [George McGinnis, familyName, McGinnis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: McGinnis Context triple: [George McGinnis, familyName, McGinnis]
-
A.
Maginnes
Maginnes is the maiden surname of Nancy Maginnes Kissinger, an American philanthropist and the wife of former U.S. Secretary of State Henry Kissinger.
-
B.
McGuire
McGuire is a surname most notably associated with American actress Dorothy McGuire, known for her work in classic Hollywood films.
-
C.
Mnookin
Mnookin is a surname most prominently associated with Jennifer L. Mnookin, an American legal scholar and university leader.
-
D.
Cowgill
Cowgill is a small rural settlement in the Yorkshire Dales, known for its scenic landscape and traditional stone-built houses.
-
E.
McClurg
McClurg is the namesake of the historic McClurg Building, a notable structure recognized for its architectural and cultural significance.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: McGinnis Triple: [George McGinnis, familyName, McGinnis]
Generated description
McGinnis is a surname most notably associated with George McGinnis, a former professional basketball player and Hall of Famer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: McGinnis Target entity description: McGinnis is a surname most notably associated with George McGinnis, a former professional basketball player and Hall of Famer.
-
A.
Maginnes
Maginnes is the maiden surname of Nancy Maginnes Kissinger, an American philanthropist and the wife of former U.S. Secretary of State Henry Kissinger.
-
B.
McGuire
McGuire is a surname most notably associated with American actress Dorothy McGuire, known for her work in classic Hollywood films.
-
C.
Mnookin
Mnookin is a surname most prominently associated with Jennifer L. Mnookin, an American legal scholar and university leader.
-
D.
Cowgill
Cowgill is a small rural settlement in the Yorkshire Dales, known for its scenic landscape and traditional stone-built houses.
-
E.
McClurg
McClurg is the namesake of the historic McClurg Building, a notable structure recognized for its architectural and cultural significance.
- F. None of above. chosen
Provenance (5 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_69c008a45d008190832a9e19f5d63406 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d3177588190970a45af0d43b04c |
completed | March 22, 2026, 9:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1418ba6488190aaf8d3070555d60a |
completed | March 23, 2026, 1:35 p.m. |
| NEDg | Description generation | batch_69c147fd4e988190a21c17f96830dfb4 |
completed | March 23, 2026, 2:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c1486382a8819098cee911eb1b7137 |
completed | March 23, 2026, 2:04 p.m. |
Created at: March 22, 2026, 4:17 p.m.