Triple

T33119573
Position Surface form Disambiguated ID Type / Status
Subject Zaris-Angel Hator as Maisie Brumble E847556 entity
Predicate sharesScreenWith P134423 FINISHED
Object Karl Urban as Jacob Holland
Karl Urban as Jacob Holland is the grizzled, legendary sea monster hunter and captain at the heart of the animated adventure film "The Sea Beast."
E2035479 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: Karl Urban as Jacob Holland | Statement: [Zaris-Angel Hator as Maisie Brumble, sharesScreenWith, Karl Urban as Jacob Holland]
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: Karl Urban as Jacob Holland
Triple: [Zaris-Angel Hator as Maisie Brumble, sharesScreenWith, Karl Urban as Jacob Holland]
Generated description
Karl Urban as Jacob Holland is the grizzled, legendary sea monster hunter and captain at the heart of the animated adventure film "The Sea Beast."

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_69f3495751a081909850af5843da40dc completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d717796c8190a5f4a23056ed7851 completed May 3, 2026, 5:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34f03c0b9c81909420d6f21becc9f0 completed June 19, 2026, 7:31 a.m.
NEDg Description generation batch_6a34fd64e14c81909b3a4ed64f7e1b5b completed June 19, 2026, 8:27 a.m.
NED2 Entity disambiguation (via description) batch_6a34fe5fa1f48190aae5352a3bc8d77e completed June 19, 2026, 8:31 a.m.
Created at: May 1, 2026, 1:27 a.m.