Triple

T35614032
Position Surface form Disambiguated ID Type / Status
Subject This Island Earth E1029115 entity
Predicate hasCharacter P2308 FINISHED
Object Dr. Cal Meacham
Dr. Cal Meacham is the brilliant scientist protagonist of the 1955 science fiction film "This Island Earth," who becomes entangled in an alien conflict after being recruited through advanced technology.
E2149207 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: Dr. Cal Meacham | Statement: [This Island Earth, hasCharacter, Dr. Cal Meacham]
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: Dr. Cal Meacham
Triple: [This Island Earth, hasCharacter, Dr. Cal Meacham]
Generated description
Dr. Cal Meacham is the brilliant scientist protagonist of the 1955 science fiction film "This Island Earth," who becomes entangled in an alien conflict after being recruited through advanced technology.

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_69f76e0709408190bbe322bf1707ef6b completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f79ee94aac8190b8b096f7c1d5d741 completed May 3, 2026, 7:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38684664a88190ade71b290b0f5dcb completed June 21, 2026, 10:40 p.m.
NEDg Description generation batch_6a386913196c81908274a2e909d943b8 completed June 21, 2026, 10:43 p.m.
NED2 Entity disambiguation (via description) batch_6a3869ecb09c8190bffe477099dcc2cf completed June 21, 2026, 10:47 p.m.
Created at: May 3, 2026, 4:05 p.m.