Triple

T5360801
Position Surface form Disambiguated ID Type / Status
Subject Naomi Watts E103014 entity
Predicate hasChild P369 FINISHED
Object Kai Schreiber
Kai Schreiber is one of the two sons of actors Naomi Watts and Liev Schreiber.
E514588 NE FINISHED

How this triple was built (4 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: Kai Schreiber | Statement: [Naomi Watts, hasChild, Kai Schreiber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kai Schreiber
Context triple: [Naomi Watts, hasChild, Kai Schreiber]
  • A. Jake Schreier
    Jake Schreier is an American film and music video director known for movies such as "Paper Towns" and "Robot & Frank."
  • B. Branden Steineckert
    Branden Steineckert is an American drummer best known for his work with the punk rock band Rancid and previously with The Used.
  • C. Dylan Schmid
    Dylan Schmid is a Canadian actor known for his roles in television series and films, often appearing in dramatic and genre projects.
  • D. Hayden Schlossberg
    Hayden Schlossberg is an American screenwriter, director, and producer best known as a co-creator of the Harold & Kumar film series and the Cobra Kai television series.
  • E. Sage Kotsenburg
    Sage Kotsenburg is an American snowboarder best known for winning the first-ever Olympic gold medal in men's slopestyle at the 2014 Winter Olympics in Sochi.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Kai Schreiber
Triple: [Naomi Watts, hasChild, Kai Schreiber]
Generated description
Kai Schreiber is one of the two sons of actors Naomi Watts and Liev Schreiber.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kai Schreiber
Target entity description: Kai Schreiber is one of the two sons of actors Naomi Watts and Liev Schreiber.
  • A. Jake Schreier
    Jake Schreier is an American film and music video director known for movies such as "Paper Towns" and "Robot & Frank."
  • B. Branden Steineckert
    Branden Steineckert is an American drummer best known for his work with the punk rock band Rancid and previously with The Used.
  • C. Dylan Schmid
    Dylan Schmid is a Canadian actor known for his roles in television series and films, often appearing in dramatic and genre projects.
  • D. Hayden Schlossberg
    Hayden Schlossberg is an American screenwriter, director, and producer best known as a co-creator of the Harold & Kumar film series and the Cobra Kai television series.
  • E. Sage Kotsenburg
    Sage Kotsenburg is an American snowboarder best known for winning the first-ever Olympic gold medal in men's slopestyle at the 2014 Winter Olympics in Sochi.
  • F. None of above. chosen

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_69bd43daa3e4819090b59d127db70e57 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd86588af081908c846fcde65724da completed March 20, 2026, 5:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21ec83b88190abc227d93b4c1c49 completed March 21, 2026, 10:55 p.m.
NEDg Description generation batch_69bf25cac6d48190ab3155c667e19484 completed March 21, 2026, 11:12 p.m.
NED2 Entity disambiguation (via description) batch_69bf264cb0c08190a92e53441ac937a3 completed March 21, 2026, 11:14 p.m.
Created at: March 20, 2026, 2:02 p.m.