Triple

T28204810
Position Surface form Disambiguated ID Type / Status
Subject Why the Whales Came E716987 entity
Predicate protagonist P268 FINISHED
Object Daniel Pender
Daniel Pender is the young boy who serves as one of the central child protagonists in Michael Morpurgo’s novel "Why the Whales Came," through whose experiences the story’s themes of fear, friendship, and superstition are explored.
E1815621 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: Daniel Pender | Statement: [Why the Whales Came, protagonist, Daniel Pender]
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: Daniel Pender
Triple: [Why the Whales Came, protagonist, Daniel Pender]
Generated description
Daniel Pender is the young boy who serves as one of the central child protagonists in Michael Morpurgo’s novel "Why the Whales Came," through whose experiences the story’s themes of fear, friendship, and superstition are explored.

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_69efd6b826908190857e6e7dad74ed93 completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_69f6430d1cd08190bc9b8e00e651375c completed May 2, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1632e765388190a208e6ecc5da0ef2 completed May 26, 2026, 11:55 p.m.
NEDg Description generation batch_6a1633a0bd1881908757c68e04bdc509 completed May 26, 2026, 11:58 p.m.
NED2 Entity disambiguation (via description) batch_6a1634122f8c8190af25b6651fd12796 completed May 27, 2026, midnight
Created at: April 27, 2026, 10:34 p.m.