Triple

T23983168
Position Surface form Disambiguated ID Type / Status
Subject The Act of Killing E604559 entity
Predicate coDirector P17194 FINISHED
Object Christine Cynn
Christine Cynn is a documentary filmmaker best known for co-directing the acclaimed and experimental film "The Act of Killing," which explores the Indonesian mass killings of the 1960s through the perspectives of the perpetrators.
E1660327 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: Christine Cynn | Statement: [The Act of Killing, coDirector, Christine Cynn]
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: Christine Cynn
Triple: [The Act of Killing, coDirector, Christine Cynn]
Generated description
Christine Cynn is a documentary filmmaker best known for co-directing the acclaimed and experimental film "The Act of Killing," which explores the Indonesian mass killings of the 1960s through the perspectives of the perpetrators.

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_69e29543f40c819087700b7a272afb60 completed April 17, 2026, 8:17 p.m.
NER Named-entity recognition batch_69f1d2bf02fc8190bebd59f149e0bbfc completed April 29, 2026, 9:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1048658cf88190b0fd6fcc517966f0 completed May 22, 2026, 12:13 p.m.
NEDg Description generation batch_6a1049149e648190803dd1d0fb8fb4a4 completed May 22, 2026, 12:16 p.m.
NED2 Entity disambiguation (via description) batch_6a1049becb848190b035eff19c6cd5ad completed May 22, 2026, 12:19 p.m.
Created at: April 17, 2026, 9:30 p.m.