Triple
T9070911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herbert Scarf |
E217362
|
entity |
| Predicate | coAuthor |
P398
|
FINISHED |
| Object |
Terje Hansen
Terje Hansen is an academic author known for co-authoring scholarly work with prominent economist and mathematician Herbert Scarf.
|
E786097
|
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: Terje Hansen | Statement: [Herbert Scarf, coAuthor, Terje Hansen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terje Hansen Context triple: [Herbert Scarf, coAuthor, Terje Hansen]
-
A.
Morten Ristorp
Morten Ristorp is a Danish songwriter and producer known for his work on international pop and R&B hits.
-
B.
Thue Christiansen
Thue Christiansen was a Greenlandic teacher, artist, and politician best known for creating Greenland’s national flag.
-
C.
Jorgen Holmboe
Jorgen Holmboe was a Norwegian-American meteorologist known for his contributions to dynamic meteorology and weather forecasting theory.
-
D.
Søren Stærmose
Søren Stærmose is a Danish film producer best known for his work on adaptations of Stieg Larsson’s Millennium series, including The Girl with the Dragon Tattoo.
-
E.
Thorvald Jørgensen
Thorvald Jørgensen was a Danish architect best known for his prominent public and ecclesiastical buildings in Copenhagen in the late 19th and early 20th centuries.
- 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: Terje Hansen Triple: [Herbert Scarf, coAuthor, Terje Hansen]
Generated description
Terje Hansen is an academic author known for co-authoring scholarly work with prominent economist and mathematician Herbert Scarf.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Terje Hansen Target entity description: Terje Hansen is an academic author known for co-authoring scholarly work with prominent economist and mathematician Herbert Scarf.
-
A.
Morten Ristorp
Morten Ristorp is a Danish songwriter and producer known for his work on international pop and R&B hits.
-
B.
Thue Christiansen
Thue Christiansen was a Greenlandic teacher, artist, and politician best known for creating Greenland’s national flag.
-
C.
Jorgen Holmboe
Jorgen Holmboe was a Norwegian-American meteorologist known for his contributions to dynamic meteorology and weather forecasting theory.
-
D.
Søren Stærmose
Søren Stærmose is a Danish film producer best known for his work on adaptations of Stieg Larsson’s Millennium series, including The Girl with the Dragon Tattoo.
-
E.
Thorvald Jørgensen
Thorvald Jørgensen was a Danish architect best known for his prominent public and ecclesiastical buildings in Copenhagen in the late 19th and early 20th centuries.
- 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_69ca83d5a7f48190b16c1e59bd43ede0 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc955ec5c0819089bb42448edf391e |
completed | April 1, 2026, 3:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0774f0d7c8190b071e5b161622355 |
completed | April 4, 2026, 2:28 a.m. |
| NEDg | Description generation | batch_69d0794951ac8190b1d245c36f498a3a |
completed | April 4, 2026, 2:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0799cc6b48190bc8fd82867f5d4da |
completed | April 4, 2026, 2:38 a.m. |
Created at: March 30, 2026, 7:12 p.m.