Triple
T21357535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bria Murphy |
E526673
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Perfect Match |
—
|
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: The Perfect Match | Statement: [Bria Murphy, notableWork, The Perfect Match]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Perfect Match Context triple: [Bria Murphy, notableWork, The Perfect Match]
-
A.
The Perfect Match
"The Perfect Match" is a children's fantasy novel by E. D. Baker, known for its lighthearted magical adventures and charming, fairy-tale-inspired storytelling.
-
B.
The Perfect Match
chosen
The Perfect Match is a romantic comedy film produced by Flavor Unit Entertainment that follows a commitment-phobic bachelor whose views on love are challenged by an unexpected relationship.
-
C.
A Perfect Match
"A Perfect Match" is a pop song by Swedish teen pop group A-Teens, known for its catchy melody and upbeat, dance-oriented production.
-
D.
The Love Match
The Love Match is a British stage comedy (later adapted for film and television) best known for featuring actress Thora Hird in a prominent role.
-
E.
The MatchMaker
The MatchMaker is a romantic comedy film best known for its lighthearted story about love and relationships, released in the late 1990s.
- 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_69e0b51d8a308190b09113b3b3f9bc15 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8afa2d11c81908608851940e4e6d3 |
completed | April 22, 2026, 11:23 a.m. |
Created at: April 16, 2026, 5:07 p.m.