Triple
T17749338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Road Home |
E443071
|
entity |
| Predicate | alternateTitle |
P39
|
FINISHED |
| Object |
我的父亲母亲
《我的父亲母亲》是一部由张艺谋执导、章子怡主演的中国爱情剧情片,讲述一段发生在上世纪农村的纯真爱情故事。
|
E1285149
|
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: 我的父亲母亲 | Statement: [The Road Home, alternateTitle, 我的父亲母亲]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 我的父亲母亲 Context triple: [The Road Home, alternateTitle, 我的父亲母亲]
-
A.
My Father and I
"My Father and I" is a memoir by George Sassoon reflecting on his relationship with his father, the poet Siegfried Sassoon, and offering personal insights into the famed writer's life and character.
-
B.
Casa de mi Padre
Casa de mi Padre is a 2012 Spanish-language American comedy film starring Will Ferrell that parodies telenovelas and Mexican Westerns.
-
C.
My Father
"My Father" is a biographical book by Margery Durant that portrays the life and character of her father, automobile pioneer William C. Durant, co-founder of General Motors.
-
D.
My Father
"My Father" is a memoir by Maria Rasputin in which she recounts the life, influence, and controversial legacy of her father, the Russian mystic Grigori Rasputin.
-
E.
My Father
My Father is a personal, familial figure who serves as a paternal role model and caregiver in the speaker’s life.
- 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: 我的父亲母亲 Triple: [The Road Home, alternateTitle, 我的父亲母亲]
Generated description
《我的父亲母亲》是一部由张艺谋执导、章子怡主演的中国爱情剧情片,讲述一段发生在上世纪农村的纯真爱情故事。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 我的父亲母亲 Target entity description: 《我的父亲母亲》是一部由张艺谋执导、章子怡主演的中国爱情剧情片,讲述一段发生在上世纪农村的纯真爱情故事。
-
A.
My Father and I
"My Father and I" is a memoir by George Sassoon reflecting on his relationship with his father, the poet Siegfried Sassoon, and offering personal insights into the famed writer's life and character.
-
B.
Casa de mi Padre
Casa de mi Padre is a 2012 Spanish-language American comedy film starring Will Ferrell that parodies telenovelas and Mexican Westerns.
-
C.
My Father
"My Father" is a biographical book by Margery Durant that portrays the life and character of her father, automobile pioneer William C. Durant, co-founder of General Motors.
-
D.
My Father
"My Father" is a memoir by Maria Rasputin in which she recounts the life, influence, and controversial legacy of her father, the Russian mystic Grigori Rasputin.
-
E.
My Father
My Father is a personal, familial figure who serves as a paternal role model and caregiver in the speaker’s life.
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48418c0188190beb31809b40e4648 |
completed | April 19, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a024304d6cc819097666c7f3fd2fd07 |
completed | May 11, 2026, 8:58 p.m. |
| NEDg | Description generation | batch_6a02458aaac88190b62258e1983100f4 |
completed | May 11, 2026, 9:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02462830088190b036cca2840c287c |
completed | May 11, 2026, 9:12 p.m. |
Created at: April 10, 2026, 10:10 a.m.