Triple
T11625489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edie McClurg |
E276256
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | McClurg |
E307415
|
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: McClurg | Statement: [Edie McClurg, familyName, McClurg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: McClurg Context triple: [Edie McClurg, familyName, McClurg]
-
A.
McClurg
chosen
McClurg is the namesake of the historic McClurg Building, a notable structure recognized for its architectural and cultural significance.
-
B.
Mackenzell
Mackenzell is a small village in the Hesse region of central Germany.
-
C.
McGillis
McGillis is a surname most notably associated with American actress Kelly McGillis, known for her roles in films such as "Top Gun" and "Witness."
-
D.
Morriss
Morriss is a variant spelling of the surname Morris, commonly used as a family name in English-speaking countries.
-
E.
McCallany
McCallany is the surname of American actor Holt McCallany, known for his roles in film and television, particularly in crime and drama series.
- 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_69d6aafa51148190ab84940694c00235 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a12416908190ac2dcd7f7ebb308f |
completed | April 10, 2026, 7:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee87845d588190bfa4197e7ab600a7 |
completed | April 26, 2026, 9:45 p.m. |
Created at: April 8, 2026, 9:39 p.m.