Triple
T3626767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garrett Hedlund |
E76857
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Hedlund
Hedlund is a surname most notably associated with American actor Garrett Hedlund, known for roles in films like "Tron: Legacy" and "Friday Night Lights."
|
E374396
|
NE FINISHED |
How this triple was built (4 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: Hedlund | Statement: [Garrett Hedlund, familyName, Hedlund]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hedlund Context triple: [Garrett Hedlund, familyName, Hedlund]
-
A.
Hedman
Hedman is a Swedish surname most prominently associated with Victor Hedman, an elite NHL defenseman for the Tampa Bay Lightning.
-
B.
Helleren
Helleren is a small historic settlement in Norway known for its traditional houses built under a large rock overhang near the Jøssingfjord.
-
C.
Merrild
Merrild is a coffee brand and company known primarily in Northern Europe, offering a range of ground and whole-bean coffees.
-
D.
Hallunda
Hallunda is a residential suburban district in the southern Stockholm region of Sweden, known for its multicultural population and location within Botkyrka Municipality.
-
E.
Holthees
Holthees is a small village in the Dutch province of North Brabant, known for its rural character and historic church.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hedlund Triple: [Garrett Hedlund, familyName, Hedlund]
Generated description
Hedlund is a surname most notably associated with American actor Garrett Hedlund, known for roles in films like "Tron: Legacy" and "Friday Night Lights."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hedlund Target entity description: Hedlund is a surname most notably associated with American actor Garrett Hedlund, known for roles in films like "Tron: Legacy" and "Friday Night Lights."
-
A.
Hedman
Hedman is a Swedish surname most prominently associated with Victor Hedman, an elite NHL defenseman for the Tampa Bay Lightning.
-
B.
Helleren
Helleren is a small historic settlement in Norway known for its traditional houses built under a large rock overhang near the Jøssingfjord.
-
C.
Merrild
Merrild is a coffee brand and company known primarily in Northern Europe, offering a range of ground and whole-bean coffees.
-
D.
Hallunda
Hallunda is a residential suburban district in the southern Stockholm region of Sweden, known for its multicultural population and location within Botkyrka Municipality.
-
E.
Holthees
Holthees is a small village in the Dutch province of North Brabant, known for its rural character and historic church.
- F. None of above. chosen
Provenance (5 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_69ad85dc03948190b35b7189e4175bcc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc2dc011c8190a6596f4b483fb078 |
completed | March 8, 2026, 6:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4332488d88190ac70846388b7ff13 |
completed | March 13, 2026, 3:54 p.m. |
| NEDg | Description generation | batch_69b4378c5f3c81908b88def235abed9c |
completed | March 13, 2026, 4:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4382148c48190b75ee46182f4d817 |
completed | March 13, 2026, 4:15 p.m. |
Created at: March 8, 2026, 3:23 p.m.