Triple
T5609311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Brown |
E147312
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Mike Brown |
E89461
|
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: Mike Brown | Statement: [Mike Brown, name, Mike Brown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Brown Context triple: [Mike Brown, name, Mike Brown]
-
A.
Mike Brown
chosen
Mike Brown is an American basketball coach best known for leading the Cleveland Cavaliers during the early years of LeBron James’s career and for his defensive-minded coaching style.
-
B.
Mike Brown
Mike Brown is an American football executive best known as the longtime owner and de facto general manager of the NFL’s Cincinnati Bengals.
-
C.
Kevin Griswold
Kevin Griswold is a character in the 2015 comedy film "Vacation," appearing as a member of the extended Griswold family in the franchise’s reboot.
-
D.
William Odom
William Odom was a U.S. Army lieutenant general and influential intelligence and national security official who directed the National Security Agency during the Reagan administration.
-
E.
Rick Blangiardi
Rick Blangiardi is an American politician and former television executive who serves as the mayor of Honolulu, Hawaii.
- 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_69c0090500f881908374285baf0ac46f |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020fe7ee0819088ced51afd9a4f93 |
completed | March 22, 2026, 5:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d4876208190b8f5b5ab2ba762d8 |
completed | March 22, 2026, 8:12 p.m. |
Created at: March 22, 2026, 3:39 p.m.