Triple
T15026801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garrett Hedlund |
E378237
|
entity |
| Predicate | siblingOf |
P363
|
FINISHED |
| Object | Nathaniel Hedlund |
E378237
|
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: Nathaniel Hedlund | Statement: [Garrett Hedlund, siblingOf, Nathaniel Hedlund]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nathaniel Hedlund Context triple: [Garrett Hedlund, siblingOf, Nathaniel Hedlund]
-
A.
Nathaniel Hedlund
chosen
Nathaniel Hedlund is known as the sibling of American actor and singer Garrett Hedlund.
-
B.
Tobias Santelmann
Tobias Santelmann is a Norwegian actor known for his roles in films and television series such as "Kon-Tiki," "Kon-Tiki," "The Last Kingdom," and "Homeland."
-
C.
Daniel Nannskog
Daniel Nannskog is a retired Swedish striker best known for his prolific goal-scoring spell at Norwegian club Stabæk Fotball and later work as a football pundit.
-
D.
Ethan Hendrickson
Ethan Hendrickson is a writer best known for his work on the song "American Boy."
-
E.
Nathan Larson
Nathan Larson is an American musician and film composer known for scoring numerous independent and mainstream movies.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7dfcb508190aec8cd667e27a8ea |
completed | April 15, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5b0bbf4819082e14715bfd6003d |
completed | May 9, 2026, 3:10 a.m. |
Created at: April 10, 2026, 2:58 a.m.