Triple
T6406064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | District of Columbia v. Heller |
E127580
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Heller |
E435198
|
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: Heller | Statement: [District of Columbia v. Heller, shortName, Heller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heller Context triple: [District of Columbia v. Heller, shortName, Heller]
-
A.
Heller
The Heller is a river in Germany that serves as a right-bank tributary of the Sieg.
-
B.
Heller
chosen
Heller is a surname shared by various notable individuals across fields such as film, literature, science, and politics.
-
C.
The Hill
The Hill is a famous public vantage point overlooking Epsom Downs Racecourse, known for offering free, expansive views of major horse racing events like The Derby.
-
D.
Die Hart
Die Hart is an action-comedy series starring Kevin Hart as a fictionalized version of himself trying to become an action movie star, blending Hollywood satire with over-the-top stunts.
-
E.
Barron
Barron is the youngest son of former U.S. President Donald Trump and former First Lady Melania Trump.
- 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_69c0083723d88190b1e37b19df162c08 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c068b22c74819092228010708aec6b |
completed | March 22, 2026, 10:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c638af5450819089d0b68721eaea4d |
completed | March 27, 2026, 7:58 a.m. |
Created at: March 22, 2026, 4:41 p.m.