Triple
T9061529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portland Mayor |
E217135
|
entity |
| Predicate | officeHolder |
P537
|
FINISHED |
| Object | Ted Wheeler |
E1861
|
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: Ted Wheeler | Statement: [Portland Mayor, officeHolder, Ted Wheeler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ted Wheeler Context triple: [Portland Mayor, officeHolder, Ted Wheeler]
-
A.
Ted Wheeler
chosen
Ted Wheeler is an American politician and member of the Democratic Party who has served as the mayor of Portland, Oregon, overseeing the city through periods of significant protest and policy debate.
-
B.
Andy Fickman
Andy Fickman is an American film and television director known for family-friendly comedies and energetic, commercially successful studio movies.
-
C.
Jeff Wincott
Jeff Wincott is a Canadian actor and martial artist known for his roles in action films and television series.
-
D.
Matt Meeker
Matt Meeker is an American entrepreneur best known for co-founding the social networking platform Meetup.com.
-
E.
Brad Cox
Brad Cox was an American computer scientist and software engineer best known for co-creating the Objective-C programming language.
- 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_69ca83d4425481909a319dab847724ec |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc7ecbb1e88190acdbfccdd975fac1 |
completed | April 1, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfebf4b9348190a7f01c64098c25f7 |
completed | April 3, 2026, 4:33 p.m. |
Created at: March 30, 2026, 7:11 p.m.