Triple
T15095704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thea Elvsted |
E360530
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Elvsted
Elvsted is the surname of Thea Elvsted, a central character in Henrik Ibsen’s play "Hedda Gabler."
|
E1137589
|
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: Elvsted | Statement: [Thea Elvsted, familyName, Elvsted]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elvsted Context triple: [Thea Elvsted, familyName, Elvsted]
-
A.
Valeyard
The Valeyard is a sinister, future incarnation of the Doctor in the Doctor Who universe, embodying his darker aspects and serving as a major antagonist.
-
B.
Olaf Pooley
Olaf Pooley was a British actor and screenwriter best known to science fiction fans for his role in the classic "Doctor Who" serial "Inferno."
-
C.
Thedinghausen
Thedinghausen is a municipality in Lower Saxony, Germany, known for its rural character and proximity to the city of Bremen.
-
D.
Els Borst
Els Borst was a Dutch politician and physician best known for serving as Minister of Health and for her leading role in legalizing euthanasia in the Netherlands.
-
E.
Erispoe
Erispoe was a 9th-century Breton ruler who consolidated Brittany’s independence from the Frankish kingdom and is often regarded as one of its early kings.
- 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: Elvsted Triple: [Thea Elvsted, familyName, Elvsted]
Generated description
Elvsted is the surname of Thea Elvsted, a central character in Henrik Ibsen’s play "Hedda Gabler."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Elvsted Target entity description: Elvsted is the surname of Thea Elvsted, a central character in Henrik Ibsen’s play "Hedda Gabler."
-
A.
Valeyard
The Valeyard is a sinister, future incarnation of the Doctor in the Doctor Who universe, embodying his darker aspects and serving as a major antagonist.
-
B.
Olaf Pooley
Olaf Pooley was a British actor and screenwriter best known to science fiction fans for his role in the classic "Doctor Who" serial "Inferno."
-
C.
Thedinghausen
Thedinghausen is a municipality in Lower Saxony, Germany, known for its rural character and proximity to the city of Bremen.
-
D.
Els Borst
Els Borst was a Dutch politician and physician best known for serving as Minister of Health and for her leading role in legalizing euthanasia in the Netherlands.
-
E.
Erispoe
Erispoe was a 9th-century Breton ruler who consolidated Brittany’s independence from the Frankish kingdom and is often regarded as one of its early kings.
- 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005466e9c8190a68e1fbeb8922b1a |
completed | April 15, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feae21134c81908939ad6ce46703d8 |
completed | May 9, 2026, 3:46 a.m. |
| NEDg | Description generation | batch_69feb37427a881908cf95f60b06251d4 |
completed | May 9, 2026, 4:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feb429517c8190a91cc6b50345d889 |
completed | May 9, 2026, 4:12 a.m. |
Created at: April 10, 2026, 3:04 a.m.