Triple
T6886746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skidmore, Owings & Merrill |
E158939
|
entity |
| Predicate | hasFounder |
P104
|
FINISHED |
| Object | John Merrill |
E12507
|
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: John Merrill | Statement: [Skidmore, Owings & Merrill, hasFounder, John Merrill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Merrill Context triple: [Skidmore, Owings & Merrill, hasFounder, John Merrill]
-
A.
John Merrill
chosen
John Merrill was an American architect best known as a co-founder of the influential international architecture and engineering firm Skidmore, Owings & Merrill.
-
B.
John Merrill
John Merrill is a relatively common personal name that may refer to multiple individuals across different fields, such as politics, sports, or academia.
-
C.
J. C. Squire
J. C. Squire was a British poet, critic, and editor best known for leading the Georgian poetry movement and shaping early 20th-century English literary taste.
-
D.
Neil Hartley
Neil Hartley is a film and television producer known for his work on the adaptation of "The Go-Between."
-
E.
Michael Ward
Michael Ward was a British character actor known for his numerous supporting roles in mid-20th-century film and television comedies.
- 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_69c688342f6c8190ad7eea6ba262db99 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d90e92488190b738676342ac6393 |
completed | March 27, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c742dc8d608190b2a8e9c1f46e1420 |
completed | March 28, 2026, 2:54 a.m. |
Created at: March 27, 2026, 2:23 p.m.