Triple
T14252171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Mays |
E353295
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Plus One
Plus One is a British romantic comedy film in which Daniel Mays stars as a man navigating awkward relationships and social mishaps.
|
E1089569
|
NE FINISHED |
How this triple was built (4 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: Plus One | Statement: [Daniel Mays, notableWork, Plus One]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Plus One Context triple: [Daniel Mays, notableWork, Plus One]
-
A.
Varsity
Varsity is a 1928 American silent comedy film starring Charles "Buddy" Rogers, set in a collegiate environment and centered on campus life and romance.
-
B.
Varsity
Varsity is the commonly used short name for Operation Varsity, the large Allied airborne assault conducted in March 1945 during World War II to support the crossing of the Rhine River into Germany.
-
C.
Grado
Grado is a coastal town and popular seaside resort in northeastern Italy, known for its historic center, beaches, and lagoon.
-
D.
Madharasa
Madharasa is a revered figure in the Lingayat tradition, recognized for contributions to its religious and philosophical heritage.
-
E.
Base One
Base One is a Nigerian rapper known for his energetic Yoruba-infused hip-hop style and collaborations within the Afrobeats and street-rap scenes.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Plus One Triple: [Daniel Mays, notableWork, Plus One]
Generated description
Plus One is a British romantic comedy film in which Daniel Mays stars as a man navigating awkward relationships and social mishaps.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Plus One Target entity description: Plus One is a British romantic comedy film in which Daniel Mays stars as a man navigating awkward relationships and social mishaps.
-
A.
Varsity
Varsity is a 1928 American silent comedy film starring Charles "Buddy" Rogers, set in a collegiate environment and centered on campus life and romance.
-
B.
Varsity
Varsity is the commonly used short name for Operation Varsity, the large Allied airborne assault conducted in March 1945 during World War II to support the crossing of the Rhine River into Germany.
-
C.
Grado
Grado is a coastal town and popular seaside resort in northeastern Italy, known for its historic center, beaches, and lagoon.
-
D.
Madharasa
Madharasa is a revered figure in the Lingayat tradition, recognized for contributions to its religious and philosophical heritage.
-
E.
Base One
Base One is a Nigerian rapper known for his energetic Yoruba-infused hip-hop style and collaborations within the Afrobeats and street-rap scenes.
- F. None of above. chosen
Provenance (5 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_69d8278c43e08190824146f4632b89a5 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6296f9d0819086f62f525d07eb12 |
completed | April 14, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd325a14b881909522b6fbbcc6326f |
completed | May 8, 2026, 12:46 a.m. |
| NEDg | Description generation | batch_69fd33cba18481908f2dfe358017f11b |
completed | May 8, 2026, 12:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd346ffb9c81909ec28e514ea5451b |
completed | May 8, 2026, 12:55 a.m. |
Created at: April 10, 2026, 1:08 a.m.