Triple

T38213388
Position Surface form Disambiguated ID Type / Status
Subject The Impossible Planet E1010616 entity
Predicate featuresCharacter P626 FINISHED
Object Ida Scott
Ida Scott is a character from the British science fiction television series Doctor Who, appearing as a scientist in the two-part story "The Impossible Planet"/"The Satan Pit."
E2261376 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: Ida Scott | Statement: [The Impossible Planet, featuresCharacter, Ida Scott]
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: Ida Scott
Triple: [The Impossible Planet, featuresCharacter, Ida Scott]
Generated description
Ida Scott is a character from the British science fiction television series Doctor Who, appearing as a scientist in the two-part story "The Impossible Planet"/"The Satan Pit."

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_69f76dcdc7708190a5f1751d53f40ffe completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fcb145d3ac81909b5f69515df4ee9c completed May 7, 2026, 3:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41854ae88481908c882010f7346540 completed June 28, 2026, 8:34 p.m.
NEDg Description generation batch_6a4185ef31d08190a98a0450b9b967a0 completed June 28, 2026, 8:37 p.m.
NED2 Entity disambiguation (via description) batch_6a41865e8b708190ae7dc8ea846a6899 completed June 28, 2026, 8:38 p.m.
Created at: May 3, 2026, 4:30 p.m.