Triple
T11467821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Spitz |
E271821
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Matthew Spitz |
E271821
|
NE FINISHED |
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: Matthew Spitz | Statement: [Mark Spitz, child, Matthew Spitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matthew Spitz Context triple: [Mark Spitz, child, Matthew Spitz]
-
A.
Matthew Spitz
chosen
Matthew Spitz is known as one of the children of legendary American Olympic swimmer Mark Spitz.
-
B.
Julian Fuego Thicke
Julian Fuego Thicke is the son of American singer-songwriter Robin Thicke and actress Paula Patton.
-
C.
Jeremy Sheffield
Jeremy Sheffield is a British actor and former ballet dancer known for his roles in film and television, including appearances in popular UK dramas and romantic comedies.
-
D.
Tom Kaulitz
Tom Kaulitz is a German musician and guitarist best known as a member of the rock band Tokio Hotel.
-
E.
Mitchel Musso
Mitchel Musso is an American actor, singer, and musician best known for his roles on Disney Channel series such as "Hannah Montana" and "Pair of Kings."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f74144819094479690c8151073 |
completed | April 9, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e9429a308190810b485708d28617 |
completed | April 20, 2026, 8:52 a.m. |
Created at: April 8, 2026, 9:35 p.m.