Triple
T18594664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Walter Hauser |
E454461
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | I, Tonya |
—
|
NE NERFINISHED |
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: I, Tonya | Statement: [Paul Walter Hauser, notableWork, I, Tonya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I, Tonya Context triple: [Paul Walter Hauser, notableWork, I, Tonya]
-
A.
I, Tonya
chosen
I, Tonya is a 2017 biographical dark comedy-drama film about figure skater Tonya Harding and the scandal surrounding the attack on Nancy Kerrigan.
-
B.
Tonya
Tonya is a feminine given name most famously associated with former American figure skater Tonya Harding.
-
C.
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.
-
D.
Tonya
Tonya is the mischievous and often troublemaking younger sister of Chris in the sitcom "Everybody Hates Chris."
-
E.
Three Billboards Outside Ebbing, Missouri
Three Billboards Outside Ebbing, Missouri is a 2017 darkly comic drama film about a grieving mother confronting local authorities over her daughter's unsolved murder.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e545b8d76881909db1539c7150befb |
completed | April 19, 2026, 9:14 p.m. |
Created at: April 10, 2026, 11:44 a.m.