Triple
T15218444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mayor of Dallas |
E363698
|
entity |
| Predicate | officeHolder |
P537
|
FINISHED |
| Object | Laura Miller |
E74111
|
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: Laura Miller | Statement: [Mayor of Dallas, officeHolder, Laura Miller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laura Miller Context triple: [Mayor of Dallas, officeHolder, Laura Miller]
-
A.
Laura Miller
chosen
Laura Miller is an American politician and former journalist who served as the mayor of Dallas, Texas, in the early 2000s.
-
B.
Laura Miller
Laura Miller is a key character in the holiday film "The Santa Clause," serving as the protagonist Scott Calvin’s ex-wife and the mother of their son, Charlie.
-
C.
Jessica Bruder
Jessica Bruder is an American journalist and author best known for her nonfiction book "Nomadland," which explores the lives of modern American nomads and inspired the Academy Award–winning film adaptation.
-
D.
Katherine Borowitz
Katherine Borowitz is an American actress known for her work in film and television and for her long-time marriage to actor and filmmaker John Turturro.
-
E.
Leah Pipes
Leah Pipes is an American actress best known for her roles in television series such as "The Originals" and various film and TV projects.
- 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007709d3881908384f0fe1e0218d0 |
completed | April 15, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed345d58c81908a8fd182c0fe7c15 |
completed | May 9, 2026, 6:25 a.m. |
Created at: April 10, 2026, 3:11 a.m.