Triple
T7799810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Carlock |
E180399
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Robert Carlock |
E180399
|
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: Robert Carlock | Statement: [Robert Carlock, name, Robert Carlock]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Carlock Context triple: [Robert Carlock, name, Robert Carlock]
-
A.
Robert Carlock
chosen
Robert Carlock is an American television writer and producer best known for his long-running creative partnership with Tina Fey on acclaimed comedy series such as "30 Rock" and "Unbreakable Kimmy Schmidt."
-
B.
Henry Ian Cusick
Henry Ian Cusick is a Scottish-Peruvian actor best known for his roles on television series such as Lost and The 100.
-
C.
Eric Danchick
Eric Danchick is a film producer known for his work on the movie "Bound 2."
-
D.
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.
-
E.
Peter Karroll
Peter Karroll is a Canadian music and film producer and manager known for his work with various artists and projects in the rock and alternative scenes.
- 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_69ca827e50cc8190a92a733577184938 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cae985d8f08190b38d9d6848a7dc83 |
completed | March 30, 2026, 9:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5a24692c8190ade15140fd2b9499 |
completed | March 31, 2026, 5:22 a.m. |
Created at: March 30, 2026, 4:33 p.m.