Triple
T21510630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lukas Heller |
E530708
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Heller |
—
|
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: Heller | Statement: [Lukas Heller, familyName, Heller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heller Context triple: [Lukas Heller, familyName, Heller]
-
A.
Heller
chosen
Heller is a surname shared by various notable individuals across fields such as film, literature, science, and politics.
-
B.
Heller
The Heller is a river in Germany that serves as a right-bank tributary of the Sieg.
-
C.
The Hill
The Hill is an upscale residential neighborhood in Seal Beach, California, known for its quiet streets, larger homes, and proximity to the coast.
-
D.
The Hill
The Hill is the iconic grassy seating area at Clemson University's Memorial Stadium where students and fans gather, famously hosting the team's entrance down the hill before football games.
-
E.
The Hill
The Hill is a notoriously steep and challenging section of British Columbia’s Chilcotin Highway, known for its dramatic grades and demanding driving conditions.
- 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_69e0c45c81f08190a6b8bbb70a45aae7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea84dfbc8190a23d9a7d6eb2c2b5 |
completed | April 23, 2026, 9:46 a.m. |
Created at: April 16, 2026, 6:25 p.m.