Triple
T6319951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hope Solo |
E141712
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Solo
Solo is the surname of Hope Solo, the renowned American soccer goalkeeper and two-time Olympic gold medalist.
|
E585370
|
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: Solo | Statement: [Hope Solo, familyName, Solo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Solo Context triple: [Hope Solo, familyName, Solo]
-
A.
Solo
Solo is a city in Central Java, Indonesia, renowned as a major center of traditional Javanese culture and batik craftsmanship.
-
B.
Solo
"Solo" is a Cold War-era thriller novel by Jack Higgins that follows a notorious professional assassin whose latest mission spirals into a deadly international conspiracy.
-
C.
Solo
Solo is a 2018 Star Wars anthology film that explores the early adventures and origins of the iconic smuggler Han Solo.
-
D.
So Me
So Me is a French graphic designer, illustrator, and music video director known for his work with the Ed Banger Records label and artists like Justice and Kanye West.
-
E.
The Lonely
"The Lonely" is a 1959 episode of the anthology series The Twilight Zone about a convicted man exiled to a remote asteroid who develops a profound emotional bond with a female robot companion.
- 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: Solo Triple: [Hope Solo, familyName, Solo]
Generated description
Solo is the surname of Hope Solo, the renowned American soccer goalkeeper and two-time Olympic gold medalist.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Solo Target entity description: Solo is the surname of Hope Solo, the renowned American soccer goalkeeper and two-time Olympic gold medalist.
-
A.
Solo
Solo is a city in Central Java, Indonesia, renowned as a major center of traditional Javanese culture and batik craftsmanship.
-
B.
Solo
"Solo" is a Cold War-era thriller novel by Jack Higgins that follows a notorious professional assassin whose latest mission spirals into a deadly international conspiracy.
-
C.
Solo
Solo is a 2018 Star Wars anthology film that explores the early adventures and origins of the iconic smuggler Han Solo.
-
D.
So Me
So Me is a French graphic designer, illustrator, and music video director known for his work with the Ed Banger Records label and artists like Justice and Kanye West.
-
E.
The Lonely
"The Lonely" is a 1959 episode of the anthology series The Twilight Zone about a convicted man exiled to a remote asteroid who develops a profound emotional bond with a female robot companion.
- 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_69c008d13b8c8190be47d896eb735605 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064c4ed7c8190bd066dc7cd3d1329 |
completed | March 22, 2026, 9:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e48485308190adc2208ad46faaa7 |
completed | March 27, 2026, 1:59 a.m. |
| NEDg | Description generation | batch_69c5f50ea1f08190bc475eab7b3ec6f0 |
completed | March 27, 2026, 3:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c5f57691cc8190b07ecfa16d1eac20 |
completed | March 27, 2026, 3:11 a.m. |
Created at: March 22, 2026, 4:29 p.m.