Triple
T9994962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tadanobu Asano |
E197179
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Chara
Chara is a Japanese singer-songwriter and actress known for her distinctive whispery vocals and eclectic, experimental pop music.
|
E834482
|
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: Chara | Statement: [Tadanobu Asano, spouse, Chara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chara Context triple: [Tadanobu Asano, spouse, Chara]
-
A.
Chára
Chára is a Slovak surname most prominently associated with Zdeno Chára, the towering NHL defenseman and Stanley Cup champion.
-
B.
Charalá
Charalá is a historic colonial town in the Santander Department of Colombia, known for its role in independence-era uprisings and its traditional Andean culture.
-
C.
Reona
Reona is the Japanese given name of Nobel Prize–winning physicist Leo Esaki, known for his pioneering work on quantum tunneling and semiconductor devices.
-
D.
Chela
Chela is a fictional character portrayed by actor Ken Hutchison, likely appearing in a film or television production.
-
E.
Kiname
"Kiname" is a popular song by Congolese singer-songwriter Fally Ipupa, known for its blend of contemporary Congolese rumba and Afro-pop rhythms.
- 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: Chara Triple: [Tadanobu Asano, spouse, Chara]
Generated description
Chara is a Japanese singer-songwriter and actress known for her distinctive whispery vocals and eclectic, experimental pop music.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chara Target entity description: Chara is a Japanese singer-songwriter and actress known for her distinctive whispery vocals and eclectic, experimental pop music.
-
A.
Chára
Chára is a Slovak surname most prominently associated with Zdeno Chára, the towering NHL defenseman and Stanley Cup champion.
-
B.
Charalá
Charalá is a historic colonial town in the Santander Department of Colombia, known for its role in independence-era uprisings and its traditional Andean culture.
-
C.
Reona
Reona is the Japanese given name of Nobel Prize–winning physicist Leo Esaki, known for his pioneering work on quantum tunneling and semiconductor devices.
-
D.
Chela
Chela is a fictional character portrayed by actor Ken Hutchison, likely appearing in a film or television production.
-
E.
Kiname
"Kiname" is a popular song by Congolese singer-songwriter Fally Ipupa, known for its blend of contemporary Congolese rumba and Afro-pop rhythms.
- 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_69ca82f3b61c81908ecc2c1c96dbc2e4 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdcb99ac74819091f20816478ea375 |
completed | April 2, 2026, 1:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d258336ab8819098d4878b8c106d86 |
completed | April 5, 2026, 12:40 p.m. |
| NEDg | Description generation | batch_69d259cb8c4c8190b9169745751855ca |
completed | April 5, 2026, 12:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d25a30ad98819084dcd305e709c34d |
completed | April 5, 2026, 12:48 p.m. |
Created at: March 30, 2026, 8:50 p.m.