Triple
T22259267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brittany Runs a Marathon |
E550174
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Jern
Jern is a supporting character in the comedy-drama film "Brittany Runs a Marathon," serving as one of Brittany's friends who contributes to her personal growth and transformation.
|
E1527343
|
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: Jern | Statement: [Brittany Runs a Marathon, hasCharacter, Jern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jern Context triple: [Brittany Runs a Marathon, hasCharacter, Jern]
-
A.
Hammeren
Hammeren is a small settlement located within Rana Municipality in Nordland county, Norway.
-
B.
Ergolding
Ergolding is a market town in Lower Bavaria, Germany, situated just northeast of the city of Landshut along the Isar River.
-
C.
Ijzer
Ijzer is a river in northern France and western Belgium that flows into the North Sea and is historically known for its strategic role in World War I.
-
D.
Solbo
Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
-
E.
Jättendal
Jättendal is a small locality in northern Sweden, situated within Nordanstig Municipality in Gävleborg County.
- 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: Jern Triple: [Brittany Runs a Marathon, hasCharacter, Jern]
Generated description
Jern is a supporting character in the comedy-drama film "Brittany Runs a Marathon," serving as one of Brittany's friends who contributes to her personal growth and transformation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jern Target entity description: Jern is a supporting character in the comedy-drama film "Brittany Runs a Marathon," serving as one of Brittany's friends who contributes to her personal growth and transformation.
-
A.
Hammeren
Hammeren is a small settlement located within Rana Municipality in Nordland county, Norway.
-
B.
Ergolding
Ergolding is a market town in Lower Bavaria, Germany, situated just northeast of the city of Landshut along the Isar River.
-
C.
Ijzer
Ijzer is a river in northern France and western Belgium that flows into the North Sea and is historically known for its strategic role in World War I.
-
D.
Solbo
Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
-
E.
Jättendal
Jättendal is a small locality in northern Sweden, situated within Nordanstig Municipality in Gävleborg County.
- 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_69e11e42adb8819087714772ea606709 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f138c5b54c8190854690ba599639fa |
completed | April 28, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ab6681d5881909345d8e83791ba7d |
completed | May 18, 2026, 6:49 a.m. |
| NEDg | Description generation | batch_6a0ab6fd3a6881908ea1e8f85eb9d969 |
completed | May 18, 2026, 6:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ab791bd6c819098b3de570bd08815 |
completed | May 18, 2026, 6:54 a.m. |
Created at: April 16, 2026, 8:39 p.m.