Triple
T35727803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All About Lily Chou-Chou |
E1032663
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Riri Shushu no Subete
Riri Shushu no Subete is a Japanese coming-of-age drama film directed by Shunji Iwai that explores teenage alienation, bullying, and obsession with a fictional pop idol through an experimental, internet-influenced narrative style.
|
E2153279
|
NE FINISHED |
How this triple was built (2 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: Riri Shushu no Subete | Statement: [All About Lily Chou-Chou, alsoKnownAs, Riri Shushu no Subete]
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: Riri Shushu no Subete Triple: [All About Lily Chou-Chou, alsoKnownAs, Riri Shushu no Subete]
Generated description
Riri Shushu no Subete is a Japanese coming-of-age drama film directed by Shunji Iwai that explores teenage alienation, bullying, and obsession with a fictional pop idol through an experimental, internet-influenced narrative style.
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_69f76e102b5881909e5d63a30a5cecbe |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a132bd04819080edfe6ea2d6ca0b |
completed | May 3, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a387d1b3ac88190995863de0b0358b7 |
completed | June 22, 2026, 12:08 a.m. |
| NEDg | Description generation | batch_6a387de3bc6c8190900f31b768ed57c8 |
completed | June 22, 2026, 12:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a388040b9b48190b8e3ed03ab9f9bf3 |
completed | June 22, 2026, 12:22 a.m. |
Created at: May 3, 2026, 4:05 p.m.