Triple
T5457342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cooper-Lecky Architects |
E122511
|
entity |
| Predicate | collaboratedWith |
P435
|
FINISHED |
| Object | Frank Gaylord |
E131374
|
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: Frank Gaylord | Statement: [Cooper-Lecky Architects, collaboratedWith, Frank Gaylord]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frank Gaylord Context triple: [Cooper-Lecky Architects, collaboratedWith, Frank Gaylord]
-
A.
Frank Gaylord
chosen
Frank Gaylord was an American sculptor best known for creating the statues of soldiers at the Korean War Veterans Memorial in Washington, D.C.
-
B.
Jack Foley
Jack Foley is a charming, sharp-witted career bank robber and the central antihero of Elmore Leonard’s crime novel "Out of Sight" and its film adaptation.
-
C.
Gil Doud
Gil Doud was an American screenwriter best known for his work on mid-20th-century Hollywood films, particularly war and action dramas.
-
D.
Ted Lange
Ted Lange is an American actor, director, and screenwriter best known for his role as bartender Isaac Washington on the television series "The Love Boat."
-
E.
Mel Blount
Mel Blount is a Hall of Fame cornerback renowned for his dominant play with the Pittsburgh Steelers in the 1970s, where he helped lead the team to four Super Bowl titles.
- 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_69bd46424248819085282ddf50a565f3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd91f05c48819095bb4e371209adee |
completed | March 20, 2026, 6:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf41465c3c8190a58350f39d626e54 |
completed | March 22, 2026, 1:09 a.m. |
Created at: March 20, 2026, 2:08 p.m.