Triple
T4640592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Deep |
E101644
|
entity |
| Predicate | architect |
P184
|
FINISHED |
| Object | Terry Farrell |
E213530
|
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: Terry Farrell | Statement: [The Deep, architect, Terry Farrell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terry Farrell Context triple: [The Deep, 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 Louise Fisher
Terry Louise Fisher is an American television writer and producer best known for her influential work on legal dramas in the 1980s and 1990s.
-
C.
Glenda Farrell
Glenda Farrell was an American film, stage, and television actress best known for her sharp-tongued, fast-talking roles in 1930s Hollywood, including the popular Torchy Blane detective series.
-
D.
Lori Petty
Lori Petty is an American actress best known for her energetic roles in films like "Point Break," "Tank Girl," and the baseball classic "A League of Their Own."
-
E.
Cynthia Nelson
Cynthia Nelson is an artist known for creating cover artwork, including the cover art for the work titled "Knock Knock."
- 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_69bd43d3bc7c81908f81fcf380476b0f |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a8fbd2c8190b593cd46ce8dfe0f |
completed | March 20, 2026, 2:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4d739e9c8190b7fffe68a3b54de5 |
completed | March 21, 2026, 7:49 a.m. |
Created at: March 20, 2026, 1:14 p.m.