Triple
T11639150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guy Hedlund |
E276611
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Guy Hedlund |
E276611
|
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: Guy Hedlund | Statement: [Guy Hedlund, name, Guy Hedlund]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guy Hedlund Context triple: [Guy Hedlund, name, Guy Hedlund]
-
A.
Guy Hedlund
chosen
Guy Hedlund was an American actor of the silent film era who appeared in numerous early motion pictures.
-
B.
Kevin Peter Hall
Kevin Peter Hall was an American actor and towering 7'2" performer best known for portraying the title creatures in the films Predator and Harry and the Hendersons.
-
C.
Billy Hartnett
Billy Hartnett is the commonly used name for William Hartnett, likely referring to him in informal or public contexts.
-
D.
Edward J. Peterson
Edward J. Peterson was a U.S. Air Force officer in whose honor Peterson Space Force Base in Colorado was named, recognizing his service and sacrifice.
-
E.
Kim Lundgren
Kim Lundgren is an entrepreneur best known as one of the founders behind the German airline Air Berlin.
- 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_69d6aafa51148190ab84940694c00235 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a25e90c08190b7fb73939a2be3d7 |
completed | April 10, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee87d006e881908e008ffa17502d47 |
completed | April 26, 2026, 9:46 p.m. |
Created at: April 8, 2026, 9:39 p.m.