Triple
T29475351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Days of Being Wild |
E747633
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Yuddy
Yuddy is the aimless, emotionally detached young man at the center of Wong Kar-wai’s film "Days of Being Wild," known for his fleeting romances and search for identity in 1960s Hong Kong.
|
E1868873
|
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: Yuddy | Statement: [Days of Being Wild, mainCharacter, Yuddy]
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: Yuddy Triple: [Days of Being Wild, mainCharacter, Yuddy]
Generated description
Yuddy is the aimless, emotionally detached young man at the center of Wong Kar-wai’s film "Days of Being Wild," known for his fleeting romances and search for identity in 1960s Hong Kong.
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_69f0bd42cf308190bb01b20bc5b7c2d0 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66bd3e30c8190845285003677585d |
completed | May 2, 2026, 9:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a25f11ca72881909056a3d96d53fec1 |
completed | June 7, 2026, 10:30 p.m. |
| NEDg | Description generation | batch_6a25f5cdbc34819084ef618b265d88f4 |
completed | June 7, 2026, 10:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a25f994332c8190a75fa8a2e64bc7b1 |
completed | June 7, 2026, 11:07 p.m. |
Created at: April 28, 2026, 3:59 p.m.