Triple
T11207076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brad Lander |
E265196
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Brad Lander |
E265196
|
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: Brad Lander | Statement: [Brad Lander, name, Brad Lander]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brad Lander Context triple: [Brad Lander, name, Brad Lander]
-
A.
Brad Lander
chosen
Brad Lander is an American politician and progressive Democrat who serves as the New York City Comptroller and previously represented Brooklyn in the New York City Council.
-
B.
Tim Latta
Tim Latta is a soccer executive best known for serving as the general manager of the early Major League Soccer club Kansas City Wiz (now Sporting Kansas City).
-
C.
John Landi
John Landi is an Australian entrepreneur best known for creating Coffs Harbour’s iconic “The Big Banana” tourist attraction.
-
D.
Clint Bolick
Clint Bolick is an American lawyer, legal scholar, and Arizona Supreme Court justice known for his work on constitutional law, civil liberties, and free-market public interest litigation.
-
E.
Sean Biggerstaff
Sean Biggerstaff is a Scottish actor best known for playing Oliver Wood in the Harry Potter film series.
- 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_69d6aac59460819089b9848b27f57848 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8d4eef88190a7f05bca82d919b9 |
completed | April 9, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ad135154819091026334d25cd287 |
completed | April 19, 2026, 10:23 a.m. |
Created at: April 8, 2026, 9:30 p.m.