Triple
T12159203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jon Jerde |
E289659
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jon Jerde |
E289659
|
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: Jon Jerde | Statement: [Jon Jerde, name, Jon Jerde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jon Jerde Context triple: [Jon Jerde, name, Jon Jerde]
-
A.
Jon Jerde
chosen
Jon Jerde was an influential American architect and urban designer known for his experiential, entertainment-focused commercial complexes and innovative approach to public space.
-
B.
Joe Rohde
Joe Rohde is an American creative executive and former Walt Disney Imagineer best known for leading the design of Disney’s Animal Kingdom and other highly themed, story-driven attractions.
-
C.
Phil DeVoss
Phil DeVoss is a fictional character from the romantic comedy-drama film "Elizabethtown," which explores themes of family, failure, and self-discovery.
-
D.
Eric Danchick
Eric Danchick is a film producer known for his work on the movie "Bound 2."
-
E.
Steve Kragthorpe
Steve Kragthorpe is an American football coach best known for revitalizing the University of Tulsa’s football program in the early 2000s and later serving as head coach at the University of Louisville.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915c277e481908351bf4e664dda42 |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e2548a848190a3a72415a5e4d0fd |
completed | May 3, 2026, 5:51 a.m. |
Created at: April 8, 2026, 9:50 p.m.