Triple
T22526541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doctor Zhivago (film score) |
E556919
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Tonya
Tonya is a character from the film "Doctor Zhivago," known as Yuri Zhivago’s devoted wife whose relationship contrasts with his passionate affair with Lara.
|
E1542395
|
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: Tonya | Statement: [Doctor Zhivago (film score), hasPart, Tonya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tonya Context triple: [Doctor Zhivago (film score), hasPart, Tonya]
-
A.
Tonya
Tonya is a central female character in August Wilson’s play "King Hedley II," known for her poignant struggle over motherhood, survival, and hope in 1980s Pittsburgh.
-
B.
Tonya
Tonya is the mischievous and often troublemaking younger sister of Chris in the sitcom "Everybody Hates Chris."
-
C.
Tonya
Tonya is a feminine given name most famously associated with former American figure skater Tonya Harding.
-
D.
I, Tonya
I, Tonya is a 2017 biographical dark comedy-drama film about figure skater Tonya Harding and the scandal surrounding the attack on Nancy Kerrigan.
-
E.
Tonya's Twirls
"Tonya's Twirls" is a song featured on the R&B/soul album *So Damn Happy* by Aretha Franklin.
- 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: Tonya Triple: [Doctor Zhivago (film score), hasPart, Tonya]
Generated description
Tonya is a character from the film "Doctor Zhivago," known as Yuri Zhivago’s devoted wife whose relationship contrasts with his passionate affair with Lara.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tonya Target entity description: Tonya is a character from the film "Doctor Zhivago," known as Yuri Zhivago’s devoted wife whose relationship contrasts with his passionate affair with Lara.
-
A.
Tonya
Tonya is a central female character in August Wilson’s play "King Hedley II," known for her poignant struggle over motherhood, survival, and hope in 1980s Pittsburgh.
-
B.
Tonya
Tonya is the mischievous and often troublemaking younger sister of Chris in the sitcom "Everybody Hates Chris."
-
C.
Tonya
Tonya is a feminine given name most famously associated with former American figure skater Tonya Harding.
-
D.
I, Tonya
I, Tonya is a 2017 biographical dark comedy-drama film about figure skater Tonya Harding and the scandal surrounding the attack on Nancy Kerrigan.
-
E.
Tonya's Twirls
"Tonya's Twirls" is a song featured on the R&B/soul album *So Damn Happy* by Aretha Franklin.
- 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_69e11e57483c8190b0887c4f8ff26446 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ed352b48190a96ef2896f2978cd |
completed | April 29, 2026, 1:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b1dd894048190a50e4b3d24d26905 |
completed | May 18, 2026, 2:10 p.m. |
| NEDg | Description generation | batch_6a0b2560f8b08190aaba573e06d38d55 |
completed | May 18, 2026, 2:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b2729328481908faf3f88acfc9de1 |
completed | May 18, 2026, 2:50 p.m. |
Created at: April 16, 2026, 8:51 p.m.