Triple
T18817056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Punch McLean |
E460162
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object | McLean |
—
|
NE NERFINISHED |
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: McLean | Statement: [Punch McLean, hasFamilyName, McLean]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: McLean Context triple: [Punch McLean, hasFamilyName, McLean]
-
A.
McLean
chosen
McLean is a Scottish surname historically associated with the Highland clan Maclean and its various regional branches.
-
B.
McLean
McLean is a small town located in Gray County in the Texas Panhandle region of the United States.
-
C.
McLean
McLean is an affluent suburban community in Northern Virginia known for its upscale residential neighborhoods, proximity to Washington, D.C., and numerous high-ranking government and corporate residents.
-
D.
Leesburg
Leesburg is a historic town in Loudoun County that serves as a suburban hub of Northern Virginia near Washington, D.C.
-
E.
Leesburg
Leesburg is a small city in central Florida known for its historic downtown, numerous lakes, and annual festivals such as Bikefest.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a6b620248190afa21a6ce61e2cff |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 10, 2026, 11:55 a.m.