Triple
T17636111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SIS Building |
E430097
|
entity |
| Predicate | architect |
P184
|
FINISHED |
| Object | Terry Farrell |
—
|
NE NERFINISHED |
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: Terry Farrell | Statement: [SIS Building, architect, Terry Farrell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terry Farrell Context triple: [SIS Building, architect, Terry Farrell]
-
A.
Terry Farrell
chosen
Terry Farrell is a prominent British architect known for his influential contributions to postmodern architecture, including major urban design and landmark building projects.
-
B.
Terry Farrell
Terry Farrell is an American actress best known for her role as Jadzia Dax on the television series "Star Trek: Deep Space Nine."
-
C.
Terri Conn
Terri Conn is an American actress best known for her roles on the soap operas "As the World Turns" and "One Life to Live."
-
D.
Sharon Farrell
Sharon Farrell is an American actress known for her work in film and television from the 1960s onward, often appearing in teen comedies, dramas, and genre movies.
-
E.
Terri Alden
Terri Alden is a nurse and one of the main female roommates introduced later in the sitcom "Three's Company," known for her sweet but strong-willed personality.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889e37f308190a6aa0a69daff86c7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46de0ad988190b1a2c0bff69eb9f1 |
completed | April 19, 2026, 5:53 a.m. |
Created at: April 10, 2026, 5:52 a.m.