Triple
T19521402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Perfect Score |
E488408
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object |
Nena Hsu
Nena Hsu is a film editor known for her work on the teen heist comedy "The Perfect Score."
|
E1380299
|
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: Nena Hsu | Statement: [The Perfect Score, editor, Nena Hsu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nena Hsu Context triple: [The Perfect Score, editor, Nena Hsu]
-
A.
Gigi Chao
Gigi Chao is a Hong Kong businesswoman and LGBTQ+ rights advocate known internationally after her billionaire father publicly offered a large dowry to any man who could persuade her to marry him despite her being openly lesbian.
-
B.
Estella Kwan
Estella Kwan is the mother of American figure skating champion Michelle Wingshan Kwan.
-
C.
Song Meiling
Song Meiling was a prominent 20th-century Chinese political figure and influential wife of Chiang Kai-shek, known for her diplomatic efforts, advocacy for China on the international stage, and significant role in modern Chinese history.
-
D.
Linda Lin Ying
Linda Lin Ying is a Hong Kong actress best known for her role in the classic Jackie Chan martial arts comedy film "Drunken Master."
-
E.
Cindy Wu
Cindy Wu is a companion character in Titan Comics' Doctor Who series who travels with the Tenth Doctor on various adventures.
- 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: Nena Hsu Triple: [The Perfect Score, editor, Nena Hsu]
Generated description
Nena Hsu is a film editor known for her work on the teen heist comedy "The Perfect Score."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nena Hsu Target entity description: Nena Hsu is a film editor known for her work on the teen heist comedy "The Perfect Score."
-
A.
Gigi Chao
Gigi Chao is a Hong Kong businesswoman and LGBTQ+ rights advocate known internationally after her billionaire father publicly offered a large dowry to any man who could persuade her to marry him despite her being openly lesbian.
-
B.
Estella Kwan
Estella Kwan is the mother of American figure skating champion Michelle Wingshan Kwan.
-
C.
Song Meiling
Song Meiling was a prominent 20th-century Chinese political figure and influential wife of Chiang Kai-shek, known for her diplomatic efforts, advocacy for China on the international stage, and significant role in modern Chinese history.
-
D.
Linda Lin Ying
Linda Lin Ying is a Hong Kong actress best known for her role in the classic Jackie Chan martial arts comedy film "Drunken Master."
-
E.
Cindy Wu
Cindy Wu is a companion character in Titan Comics' Doctor Who series who travels with the Tenth Doctor on various adventures.
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e635a0b37c8190b70b7427c2e85f59 |
completed | April 20, 2026, 2:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07472af0b881909e5bada0955b52bb |
completed | May 15, 2026, 4:17 p.m. |
| NEDg | Description generation | batch_6a0747f6b1d48190a3e70576ddb4feb2 |
completed | May 15, 2026, 4:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07492259488190a8c405598f9c8878 |
completed | May 15, 2026, 4:26 p.m. |
Created at: April 10, 2026, 1:40 p.m.