Triple
T17623680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hollywood Wives |
E429773
|
entity |
| Predicate | starred |
P5563
|
FINISHED |
| Object | Andrew Stevens |
—
|
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: Andrew Stevens | Statement: [Hollywood Wives, starred, Andrew Stevens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrew Stevens Context triple: [Hollywood Wives, starred, Andrew Stevens]
-
A.
Andrew Stevens
chosen
Andrew Stevens is an American actor, producer, and director known for his work in films and television since the 1970s.
-
B.
Allen Stevens
Allen Stevens is a designer best known for creating the mission patch for NASA's Gemini 9A spaceflight.
-
C.
Matthew Stevens
Matthew Stevens is a contemporary jazz guitarist and composer known for his innovative work both as a bandleader and as a sought-after collaborator and producer.
-
D.
Jeremy Stevens
Jeremy Stevens is an American television and film writer best known for his work on comedy projects, including the screenplay for the 1985 film "Summer Rental."
-
E.
Tom Stevens
Tom Stevens is a fictional character played by actor Hugh Marlowe, best known from mid-20th-century American film and television.
- 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_69e46dba664c81909dcaf44779db5565 |
completed | April 19, 2026, 5:52 a.m. |
Created at: April 10, 2026, 5:52 a.m.