Triple
T16027022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Astrid Hofferson |
E388741
|
entity |
| Predicate | affiliation |
P10
|
FINISHED |
| Object |
Berk
Berk is the remote Viking island village that serves as the primary setting in the How to Train Your Dragon franchise.
|
E1189193
|
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: Berk | Statement: [Astrid Hofferson, affiliation, Berk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berk Context triple: [Astrid Hofferson, affiliation, Berk]
-
A.
Berk
Berk is a Turkish surname shared by various individuals, including the notable poet İlhan Berk.
-
B.
Berkheim
Berkheim is a small municipality in the district of Biberach in the federal state of Baden-Württemberg in southern Germany.
-
C.
Berch
Berch is the colloquial nickname for the Erlanger Bergkirchweih, a famous annual beer festival held in Erlangen, Germany.
-
D.
Berkelland
Berkelland is a municipality in the eastern Netherlands, located in the Achterhoek region of the province of Gelderland.
-
E.
Berkley
Berkley is a surname most notably associated with American actress Elizabeth Berkley, known for her roles in "Saved by the Bell" and "Showgirls."
- 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: Berk Triple: [Astrid Hofferson, affiliation, Berk]
Generated description
Berk is the remote Viking island village that serves as the primary setting in the How to Train Your Dragon franchise.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Berk Target entity description: Berk is the remote Viking island village that serves as the primary setting in the How to Train Your Dragon franchise.
-
A.
Berk
Berk is a Turkish surname shared by various individuals, including the notable poet İlhan Berk.
-
B.
Berkheim
Berkheim is a small municipality in the district of Biberach in the federal state of Baden-Württemberg in southern Germany.
-
C.
Berch
Berch is the colloquial nickname for the Erlanger Bergkirchweih, a famous annual beer festival held in Erlangen, Germany.
-
D.
Berkelland
Berkelland is a municipality in the eastern Netherlands, located in the Achterhoek region of the province of Gelderland.
-
E.
Berkley
Berkley is a surname most notably associated with American actress Elizabeth Berkley, known for her roles in "Saved by the Bell" and "Showgirls."
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18328707c8190b9a444c78faaaa04 |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf33c6a881909284933ea3b7dd6e |
completed | May 10, 2026, 12:20 a.m. |
| NEDg | Description generation | batch_69ffd01d545c8190a96cd888223c7fa9 |
completed | May 10, 2026, 12:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffd0b3d4b08190b1be30954d5d76c0 |
completed | May 10, 2026, 12:26 a.m. |
Created at: April 10, 2026, 4:56 a.m.