Triple
T12412656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helvering v. Eubank |
E296554
|
entity |
| Predicate | party |
P1790
|
FINISHED |
| Object | Helvering |
E60564
|
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: Helvering | Statement: [Helvering v. Eubank, party, Helvering]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helvering Context triple: [Helvering v. Eubank, party, Helvering]
-
A.
Helvering
chosen
Helvering is a surname most notably associated with Guy T. Helvering, a prominent American politician and former Commissioner of Internal Revenue.
-
B.
Hollander
Hollander is a surname most prominently associated with English actor Tom Hollander, known for his versatile roles in film, television, and theatre.
-
C.
Leyhof
Leyhof is a residential neighborhood in the Dutch town of Leiderdorp, located in the province of South Holland.
-
D.
Helfferich
Helfferich is a German surname most notably associated with Karl Helfferich, an influential early 20th-century economist and politician in the German Empire.
-
E.
Hibler
Hibler is a surname most notably associated with Winston Hibler, an American screenwriter, producer, and narrator known for his work on Walt Disney nature documentaries and animated films.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d6b0f9c8190813b6fe3f97570ac |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6348ccaf88190aeb0dfb7fe1d8dec |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:55 p.m.