Triple
T5430019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Redruth |
E121461
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object |
River Red
River Red is a small watercourse associated with the town of Redruth in Cornwall, England.
|
E519573
|
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: River Red | Statement: [Redruth, hasRiver, River Red]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Red Context triple: [Redruth, hasRiver, River Red]
-
A.
The Woman in Red
The Woman in Red is a 1984 romantic comedy film starring Gene Wilder that is especially known for its soundtrack featuring Stevie Wonder’s hit song “I Just Called to Say I Love You.”
-
B.
The Rainbow
The Rainbow is a 1915 novel by D. H. Lawrence that traces three generations of an English family while exploring themes of sexuality, individuality, and social change.
-
C.
The Rainbow
The Rainbow is a seascape painting by Russian-Armenian Romantic artist Ivan Aivazovsky, celebrated for its dramatic depiction of light, atmosphere, and the power of the sea.
-
D.
The Yellow Lily
The Yellow Lily is a silent-era film best known for featuring popular 1920s actress Billie Dove in a prominent role.
-
E.
Red's Dream
Red's Dream is a 1987 Pixar animated short film that follows the melancholy fantasy life of a unicycle longing to be part of a circus act.
- 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: River Red Triple: [Redruth, hasRiver, River Red]
Generated description
River Red is a small watercourse associated with the town of Redruth in Cornwall, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: River Red Target entity description: River Red is a small watercourse associated with the town of Redruth in Cornwall, England.
-
A.
The Woman in Red
The Woman in Red is a 1984 romantic comedy film starring Gene Wilder that is especially known for its soundtrack featuring Stevie Wonder’s hit song “I Just Called to Say I Love You.”
-
B.
The Rainbow
The Rainbow is a 1915 novel by D. H. Lawrence that traces three generations of an English family while exploring themes of sexuality, individuality, and social change.
-
C.
The Rainbow
The Rainbow is a seascape painting by Russian-Armenian Romantic artist Ivan Aivazovsky, celebrated for its dramatic depiction of light, atmosphere, and the power of the sea.
-
D.
The Yellow Lily
The Yellow Lily is a silent-era film best known for featuring popular 1920s actress Billie Dove in a prominent role.
-
E.
Red's Dream
Red's Dream is a 1987 Pixar animated short film that follows the melancholy fantasy life of a unicycle longing to be part of a circus act.
- 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_69bd463c65f0819082ee6483ab4b466a |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd883e5e10819091e159dfd245e94d |
completed | March 20, 2026, 5:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf3ac6285081909afa6e91a023f6d5 |
completed | March 22, 2026, 12:41 a.m. |
| NEDg | Description generation | batch_69bf3c43ffe88190b8d2a10ea8a9a455 |
completed | March 22, 2026, 12:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf3ce7d6388190a9cd22f76f4420e0 |
completed | March 22, 2026, 12:50 a.m. |
Created at: March 20, 2026, 2:06 p.m.