Triple
T21095756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waterloo Road |
E519760
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object |
Mika Grainger
Mika Grainger is a central student character in the British television drama series "Waterloo Road," known for her complex personal relationships and family struggles.
|
E1467226
|
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: Mika Grainger | Statement: [Waterloo Road, hasMainCharacter, Mika Grainger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mika Grainger Context triple: [Waterloo Road, hasMainCharacter, Mika Grainger]
-
A.
Ellie Grainger
Ellie Grainger is an actress best known for her role in the critically acclaimed horror film "The Witch."
-
B.
Nick Glennie-Smith
Nick Glennie-Smith is a British film composer and conductor known for his work on high-profile action and adventure movie scores.
-
C.
Nina Grieg
Nina Grieg was a Norwegian lyric soprano and the wife and frequent musical collaborator of composer Edvard Grieg.
-
D.
Jan Crouch
Jan Crouch was an American televangelist and co-founder of the Trinity Broadcasting Network, known for her flamboyant on-air persona and influential role in Christian broadcasting.
-
E.
Cosima Shaw
Cosima Shaw is a German-British actress known for her work in science fiction and drama, including prominent roles in television and film.
- 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: Mika Grainger Triple: [Waterloo Road, hasMainCharacter, Mika Grainger]
Generated description
Mika Grainger is a central student character in the British television drama series "Waterloo Road," known for her complex personal relationships and family struggles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mika Grainger Target entity description: Mika Grainger is a central student character in the British television drama series "Waterloo Road," known for her complex personal relationships and family struggles.
-
A.
Ellie Grainger
Ellie Grainger is an actress best known for her role in the critically acclaimed horror film "The Witch."
-
B.
Nick Glennie-Smith
Nick Glennie-Smith is a British film composer and conductor known for his work on high-profile action and adventure movie scores.
-
C.
Nina Grieg
Nina Grieg was a Norwegian lyric soprano and the wife and frequent musical collaborator of composer Edvard Grieg.
-
D.
Jan Crouch
Jan Crouch was an American televangelist and co-founder of the Trinity Broadcasting Network, known for her flamboyant on-air persona and influential role in Christian broadcasting.
-
E.
Cosima Shaw
Cosima Shaw is a German-British actress known for her work in science fiction and drama, including prominent roles in television and film.
- 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_69e0b508d8dc81909be940dafe36c8f7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e71b5845f88190a16f3df157f0906c |
completed | April 21, 2026, 6:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0965db4c948190bbee6032b2a2c72c |
completed | May 17, 2026, 6:53 a.m. |
| NEDg | Description generation | batch_6a0966879f08819096d6e9e7abe902c5 |
completed | May 17, 2026, 6:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09670fc80c81909cbce03b5e071428 |
completed | May 17, 2026, 6:58 a.m. |
Created at: April 16, 2026, 2:52 p.m.