Triple
T1107723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Krasinski |
E25524
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Krasinski |
E25524
|
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: Krasinski | Statement: [John Krasinski, familyName, Krasinski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Krasinski Context triple: [John Krasinski, familyName, Krasinski]
-
A.
John Krasinski
chosen
John Krasinski is an American actor, writer, and director best known for his role as Jim Halpert on the U.S. version of "The Office" and for directing and starring in the horror film "A Quiet Place."
-
B.
Hazel Krasinski
Hazel Krasinski is the daughter of American actors John Krasinski and Emily Blunt.
-
C.
Corey Stoll
Corey Stoll is an American actor known for his prominent roles in film and television, including his acclaimed performance as Congressman Peter Russo in the political drama series "House of Cards."
-
D.
Violet Krasinski
Violet Krasinski is the daughter of actors Emily Blunt and John Krasinski.
-
E.
Marc Tarpenning
Marc Tarpenning is an American engineer and entrepreneur best known as a co-founder of electric vehicle and clean energy company Tesla, Inc.
- 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_69a49428d4448190b3b36991ceae87ce |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b9e47e4881908928900df72781f0 |
completed | March 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac53935d108190955343cd1d3716b0 |
completed | March 7, 2026, 4:34 p.m. |
Created at: March 1, 2026, 7:43 p.m.