Triple
T38041815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruth Bradley |
E949502
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object |
Agatha and the Truth of Murder
Agatha and the Truth of Murder is a British period mystery television film that imagines crime writer Agatha Christie solving a real-life murder during her famous 11-day disappearance in 1926.
|
E2253548
|
NE FINISHED |
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: Agatha and the Truth of Murder | Statement: [Ruth Bradley, knownFor, Agatha and the Truth of Murder]
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: Agatha and the Truth of Murder Triple: [Ruth Bradley, knownFor, Agatha and the Truth of Murder]
Generated description
Agatha and the Truth of Murder is a British period mystery television film that imagines crime writer Agatha Christie solving a real-life murder during her famous 11-day disappearance in 1926.
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_69f76eff0bb0819084bc4e63997bd039 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc9d5abe88190ba3847bea26924ca |
completed | May 6, 2026, 11:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41544b1c548190b290913b9db701c1 |
completed | June 28, 2026, 5:05 p.m. |
| NEDg | Description generation | batch_6a4155ae18d88190be14c9826fa5dc10 |
completed | June 28, 2026, 5:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a41562cceb48190a7caab5812f3d4eb |
completed | June 28, 2026, 5:13 p.m. |
Created at: May 3, 2026, 4:20 p.m.