Triple
T16355306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adam Timmerman |
E397162
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Adam Timmerman |
E397162
|
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: Adam Timmerman | Statement: [Adam Timmerman, name, Adam Timmerman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adam Timmerman Context triple: [Adam Timmerman, name, Adam Timmerman]
-
A.
Adam Timmerman
chosen
Adam Timmerman is a former NFL offensive guard best known for his key role on Super Bowl–winning teams with the Green Bay Packers and St. Louis Rams.
-
B.
Todd Rittmann
Todd Rittmann is an American guitarist and songwriter best known for his work in experimental and noise rock bands such as U.S. Maple and Dead Rider.
-
C.
Michael S. Timlin
Michael S. Timlin is a climatologist known for his role in developing the Multivariate ENSO Index used to monitor and analyze El Niño–Southern Oscillation variability.
-
D.
John Eisendrath
John Eisendrath is a television writer and producer best known for his work on series such as "The Blacklist" and "Alias."
-
E.
Andrew Mittman
Andrew Mittman is a television and film producer known for his executive production work on series such as the Netflix show "Wednesday."
- 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_69d87f2778dc8190aa95c7572db127e6 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2face3a54819099418edd0eecc963 |
completed | April 18, 2026, 3:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002db841dc8190bfe8a0d8fca1b309 |
completed | May 10, 2026, 7:03 a.m. |
Created at: April 10, 2026, 5:07 a.m.