Triple

T30569130
Position Surface form Disambiguated ID Type / Status
Subject The Mummy (1932 film) E778072 entity
Predicate character P662 FINISHED
Object Frank Whemple
Frank Whemple is a young archaeologist in the 1932 horror film "The Mummy" who becomes entangled with the resurrected ancient priest Imhotep and his obsession with a modern woman believed to be his lost love.
E1922587 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: Frank Whemple | Statement: [The Mummy (1932 film), character, Frank Whemple]
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: Frank Whemple
Triple: [The Mummy (1932 film), character, Frank Whemple]
Generated description
Frank Whemple is a young archaeologist in the 1932 horror film "The Mummy" who becomes entangled with the resurrected ancient priest Imhotep and his obsession with a modern woman believed to be his lost love.

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_69f2249f8c148190ae7eb3912cde112a completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f68911752c8190bc42c92fce473f3c completed May 2, 2026, 11:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2863ccb1348190a5d7ddf4e1cf3e0a completed June 9, 2026, 7:04 p.m.
NEDg Description generation batch_6a2864855ae08190b4e2eab3ae354196 completed June 9, 2026, 7:07 p.m.
NED2 Entity disambiguation (via description) batch_6a2864fb9b448190b3bc964008f932a2 completed June 9, 2026, 7:09 p.m.
Created at: April 29, 2026, 8:21 p.m.