Triple

T27937145
Position Surface form Disambiguated ID Type / Status
Subject The Jewel of the Nile E700643 entity
Predicate castMember P1668 FINISHED
Object Avner Eisenberg
Avner Eisenberg is an American physical comedian, clown, and actor best known for his eccentric performance style and his role in the adventure film "The Jewel of the Nile."
E1865453 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: Avner Eisenberg | Statement: [The Jewel of the Nile, castMember, Avner Eisenberg]
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: Avner Eisenberg
Triple: [The Jewel of the Nile, castMember, Avner Eisenberg]
Generated description
Avner Eisenberg is an American physical comedian, clown, and actor best known for his eccentric performance style and his role in the adventure film "The Jewel of the Nile."

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_69ef6a5028108190a14696d9821dde49 completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f63aa0607c8190bff3c752d6b84441 completed May 2, 2026, 5:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25c0c51b98819082e8f4333b51aabd completed June 7, 2026, 7:04 p.m.
NEDg Description generation batch_6a25c505c1e0819087cefd1331d571c1 completed June 7, 2026, 7:22 p.m.
NED2 Entity disambiguation (via description) batch_6a25cfde71e081909bd5db09781d4dbe completed June 7, 2026, 8:09 p.m.
Created at: April 27, 2026, 7:14 p.m.