Triple
T6738821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foreigner |
E154023
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Kelly Hansen
Kelly Hansen is an American rock singer best known as the lead vocalist of the band Foreigner.
|
E654619
|
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: Kelly Hansen | Statement: [Foreigner, hasPart, Kelly Hansen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kelly Hansen Context triple: [Foreigner, hasPart, Kelly Hansen]
-
A.
Beth Johanssen
Beth Johanssen is a brilliant young NASA systems operator and communications specialist who is part of the Ares 3 crew in Andy Weir’s science fiction novel "The Martian."
-
B.
Maya Hansen
Maya Hansen is a brilliant botanist and geneticist in the Marvel Cinematic Universe whose Extremis research plays a pivotal role in the events of Iron Man 3.
-
C.
Christine Olsen
Christine Olsen is an Australian film producer best known for her work on the acclaimed drama "Rabbit-Proof Fence."
-
D.
Lisa Gottsegen
Lisa Gottsegen is an American businesswoman and philanthropist best known as the longtime wife of actor Dustin Hoffman.
-
E.
Heidi Hansen
Heidi Hansen is a central character in the musical "Dear Evan Hansen," portrayed as Evan's hardworking single mother struggling to connect with her son while balancing her demanding job and personal challenges.
- 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: Kelly Hansen Triple: [Foreigner, hasPart, Kelly Hansen]
Generated description
Kelly Hansen is an American rock singer best known as the lead vocalist of the band Foreigner.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kelly Hansen Target entity description: Kelly Hansen is an American rock singer best known as the lead vocalist of the band Foreigner.
-
A.
Beth Johanssen
Beth Johanssen is a brilliant young NASA systems operator and communications specialist who is part of the Ares 3 crew in Andy Weir’s science fiction novel "The Martian."
-
B.
Maya Hansen
Maya Hansen is a brilliant botanist and geneticist in the Marvel Cinematic Universe whose Extremis research plays a pivotal role in the events of Iron Man 3.
-
C.
Christine Olsen
Christine Olsen is an Australian film producer best known for her work on the acclaimed drama "Rabbit-Proof Fence."
-
D.
Lisa Gottsegen
Lisa Gottsegen is an American businesswoman and philanthropist best known as the longtime wife of actor Dustin Hoffman.
-
E.
Heidi Hansen
Heidi Hansen is a central character in the musical "Dear Evan Hansen," portrayed as Evan's hardworking single mother struggling to connect with her son while balancing her demanding job and personal challenges.
- 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_69c6880d84d8819095d19de2295f26ac |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d1866dbc81909483fbd5ed6a3ec8 |
completed | March 27, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7e4fd792481909251c8749d7a11a3 |
completed | March 28, 2026, 2:26 p.m. |
| NEDg | Description generation | batch_69c7e5df5eb08190a22e53b95fbc23f2 |
completed | March 28, 2026, 2:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7e64fe200819081901b32523a5fa5 |
completed | March 28, 2026, 2:31 p.m. |
Created at: March 27, 2026, 2:10 p.m.