Triple
T6173055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scott Dixon |
E137748
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Tilly Dixon
Tilly Dixon is the daughter of New Zealand IndyCar racing champion Scott Dixon.
|
E593047
|
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: Tilly Dixon | Statement: [Scott Dixon, hasChild, Tilly Dixon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tilly Dixon Context triple: [Scott Dixon, hasChild, Tilly Dixon]
-
A.
Sandra Tilley
Sandra Tilley was an American singer best known as a later member of the Motown girl group Martha and the Vandellas.
-
B.
Alice Dainard
Alice Dainard is a central teenage character in the science fiction film "Super 8," known for her emotional depth and involvement in the mysterious events surrounding a catastrophic train crash.
-
C.
May Davies
May Davies was the mother of Romanian-born American actor and producer John Houseman.
-
D.
Lucinda Coxon
Lucinda Coxon is a British playwright and screenwriter known for her work on films such as "The Danish Girl" and various stage adaptations.
-
E.
Isabel Bigley
Isabel Bigley was an American actress and singer best known for her Tony Award–winning performance as Sarah Brown in the original Broadway production of the musical "Guys and Dolls."
- 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: Tilly Dixon Triple: [Scott Dixon, hasChild, Tilly Dixon]
Generated description
Tilly Dixon is the daughter of New Zealand IndyCar racing champion Scott Dixon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tilly Dixon Target entity description: Tilly Dixon is the daughter of New Zealand IndyCar racing champion Scott Dixon.
-
A.
Sandra Tilley
Sandra Tilley was an American singer best known as a later member of the Motown girl group Martha and the Vandellas.
-
B.
Alice Dainard
Alice Dainard is a central teenage character in the science fiction film "Super 8," known for her emotional depth and involvement in the mysterious events surrounding a catastrophic train crash.
-
C.
May Davies
May Davies was the mother of Romanian-born American actor and producer John Houseman.
-
D.
Lucinda Coxon
Lucinda Coxon is a British playwright and screenwriter known for her work on films such as "The Danish Girl" and various stage adaptations.
-
E.
Isabel Bigley
Isabel Bigley was an American actress and singer best known for her Tony Award–winning performance as Sarah Brown in the original Broadway production of the musical "Guys and Dolls."
- 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_69c008a68c508190a8d78245c865960e |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d94c47481909745b2533926a1ca |
completed | March 22, 2026, 9:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c640a09c60819087f3dad6d6ac6833 |
completed | March 27, 2026, 8:32 a.m. |
| NEDg | Description generation | batch_69c6426e46bc8190b114dd4f26d31e60 |
completed | March 27, 2026, 8:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6431c55fc8190ab028fe93a7895ca |
completed | March 27, 2026, 8:43 a.m. |
Created at: March 22, 2026, 4:18 p.m.