Triple
T18287010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toshi-Aline Ohta Seeger |
E438009
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Toshi-Aline
Toshi-Aline is the daughter of folk singer Pete Seeger and filmmaker Toshi Seeger, known for her involvement in music and the arts.
|
E1317232
|
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: Toshi-Aline | Statement: [Toshi-Aline Ohta Seeger, givenName, Toshi-Aline]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toshi-Aline Context triple: [Toshi-Aline Ohta Seeger, givenName, Toshi-Aline]
-
A.
Totsuko
Totsuko is the former abbreviated name of Tokyo Tsushin Kogyo, the Japanese company that later became Sony.
-
B.
Toshi
Toshi is a Japanese given name commonly used for both males and females, often as a short form of longer names such as Toshiro or Toshiko.
-
C.
Takako
Takako is a Japanese feminine given name borne by various notable figures in politics, arts, and entertainment.
-
D.
Yoriko
Yoriko is a Japanese feminine given name commonly borne by women and girls in Japan.
-
E.
Junko
Junko is a common Japanese feminine given name borne by numerous notable figures in fields such as entertainment, sports, and the arts.
- 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: Toshi-Aline Triple: [Toshi-Aline Ohta Seeger, givenName, Toshi-Aline]
Generated description
Toshi-Aline is the daughter of folk singer Pete Seeger and filmmaker Toshi Seeger, known for her involvement in music and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Toshi-Aline Target entity description: Toshi-Aline is the daughter of folk singer Pete Seeger and filmmaker Toshi Seeger, known for her involvement in music and the arts.
-
A.
Totsuko
Totsuko is the former abbreviated name of Tokyo Tsushin Kogyo, the Japanese company that later became Sony.
-
B.
Toshi
Toshi is a Japanese given name commonly used for both males and females, often as a short form of longer names such as Toshiro or Toshiko.
-
C.
Takako
Takako is a Japanese feminine given name borne by various notable figures in politics, arts, and entertainment.
-
D.
Yoriko
Yoriko is a Japanese feminine given name commonly borne by women and girls in Japan.
-
E.
Junko
Junko is a common Japanese feminine given name borne by numerous notable figures in fields such as entertainment, sports, and the arts.
- 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_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e500faf62081908f16ebee0a195ba2 |
completed | April 19, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03bb542d98819084a2850c41f5f581 |
completed | May 12, 2026, 11:44 p.m. |
| NEDg | Description generation | batch_6a03bcd697148190a847f7c9af55f8fe |
completed | May 12, 2026, 11:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03be53e6f081908e35cd57305b26b7 |
completed | May 12, 2026, 11:57 p.m. |
Created at: April 10, 2026, 10:35 a.m.