Triple
T5521564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Takoma Park, Maryland |
E144820
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object | Talisha Searcy |
E450470
|
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: Talisha Searcy | Statement: [Takoma Park, Maryland, hasMayor, Talisha Searcy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Talisha Searcy Context triple: [Takoma Park, Maryland, hasMayor, Talisha Searcy]
-
A.
Talisha Searcy
chosen
Talisha Searcy is an American local politician who serves as the mayor of Takoma Park, Maryland.
-
B.
Mare Winningham
Mare Winningham is an American actress and singer-songwriter known for her acclaimed work in film, television, and theater, including multiple Emmy-winning performances.
-
C.
Keely Shaye Smith
Keely Shaye Smith is an American journalist, author, television host, and environmental activist, best known for her work in environmental advocacy and media.
-
D.
Veanne Cox
Veanne Cox is an American actress and singer known for her work in musical theatre, film, and television, often recognized for her comedic and character roles.
-
E.
Alisha Bailey
Alisha Bailey is an actress known for her role in the action film "Backdraft 2."
- 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_69c008f873a481909b4d9f7e2db3c37d |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f7227a8819080c9f074afe0eaac |
completed | March 22, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07d5de3508190a4c1f1d5b19a9bd6 |
completed | March 22, 2026, 11:38 p.m. |
Created at: March 22, 2026, 3:33 p.m.