Triple
T19967799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brian M. Stoltz |
E479985
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Stoltz |
—
|
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: Stoltz | Statement: [Brian M. Stoltz, familyName, Stoltz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stoltz Context triple: [Brian M. Stoltz, familyName, Stoltz]
-
A.
Stoltz
chosen
Stoltz is a surname most notably associated with American actor and director Eric Stoltz.
-
B.
Theron Thomas
Theron Thomas is a Grammy-winning songwriter and producer from the U.S. Virgin Islands known for crafting hit records across pop, hip-hop, and R&B for major artists.
-
C.
Theron
Theron is a surname of Greek origin that has been borne by various notable individuals, including actors, athletes, and public figures.
-
D.
Alasdhair Willis
Alasdhair Willis is a British creative director and businessman best known for his work in fashion and design, including serving as creative director for Hunter Boot Ltd.
-
E.
Selleck
Selleck is a given name most notably associated with Gold Selleck Silliman, an American lawyer and politician from the 18th century.
- 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65bc6b0208190b1ae30be95712326 |
completed | April 20, 2026, 5 p.m. |
Created at: April 10, 2026, 1:54 p.m.