Triple
T9001765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gurren Lagann |
E215053
|
entity |
| Predicate | originalNetwork |
P2594
|
FINISHED |
| Object |
TV Osaka
TV Osaka is a Japanese television network based in Osaka, known for broadcasting various anime and entertainment programs.
|
E772885
|
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: TV Osaka | Statement: [Gurren Lagann, originalNetwork, TV Osaka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TV Osaka Context triple: [Gurren Lagann, originalNetwork, TV Osaka]
-
A.
TV Tokyo
TV Tokyo is a major Japanese television network known for broadcasting popular anime series and other entertainment programming.
-
B.
TV Aichi
TV Aichi is a Japanese television network based in Nagoya, known for broadcasting a variety of anime and entertainment programs.
-
C.
Gunma TV
Gunma TV is a Japanese regional television station based in Gunma Prefecture that broadcasts a variety of local and syndicated programming, including anime.
-
D.
Tokyo Broadcasting Station
Tokyo Broadcasting Station was an early Japanese radio broadcaster that served as a forerunner to the modern public broadcaster NHK.
-
E.
NHK E-TV
NHK E-TV is a Japanese educational television channel operated by the public broadcaster NHK, featuring programs focused on learning, culture, and children’s content.
- 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: TV Osaka Triple: [Gurren Lagann, originalNetwork, TV Osaka]
Generated description
TV Osaka is a Japanese television network based in Osaka, known for broadcasting various anime and entertainment programs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TV Osaka Target entity description: TV Osaka is a Japanese television network based in Osaka, known for broadcasting various anime and entertainment programs.
-
A.
TV Tokyo
TV Tokyo is a major Japanese television network known for broadcasting popular anime series and other entertainment programming.
-
B.
TV Aichi
TV Aichi is a Japanese television network based in Nagoya, known for broadcasting a variety of anime and entertainment programs.
-
C.
Gunma TV
Gunma TV is a Japanese regional television station based in Gunma Prefecture that broadcasts a variety of local and syndicated programming, including anime.
-
D.
Tokyo Broadcasting Station
Tokyo Broadcasting Station was an early Japanese radio broadcaster that served as a forerunner to the modern public broadcaster NHK.
-
E.
NHK E-TV
NHK E-TV is a Japanese educational television channel operated by the public broadcaster NHK, featuring programs focused on learning, culture, and children’s content.
- 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_69ca83a12d648190b1e4fe11e8a31890 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6956a6e08190bd3853a7c1c130eb |
completed | April 1, 2026, 12:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdb9741dc8190bec985da8913937c |
completed | April 3, 2026, 3:24 p.m. |
| NEDg | Description generation | batch_69cfdc6b047c8190a1add15d9b48321c |
completed | April 3, 2026, 3:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfdcecebe48190a2ede4c8400b3b42 |
completed | April 3, 2026, 3:29 p.m. |
Created at: March 30, 2026, 7:05 p.m.