Triple

T25484483
Position Surface form Disambiguated ID Type / Status
Subject Marc Blucas E638661 entity
Predicate hasStepchild P25182 FINISHED
Object Jack Haddon
Jack Haddon is the stepson of American actor Marc Blucas, known for his role on the television series "Buffy the Vampire Slayer."
E1682140 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: Jack Haddon | Statement: [Marc Blucas, hasStepchild, Jack Haddon]
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: Jack Haddon
Triple: [Marc Blucas, hasStepchild, Jack Haddon]
Generated description
Jack Haddon is the stepson of American actor Marc Blucas, known for his role on the television series "Buffy the Vampire Slayer."

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_69e75dbabeac8190bab30628f8b799d4 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f77ad3d0819080476fa776234cd0 completed May 2, 2026, 1:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10ad6719088190b078c9560fb03212 completed May 22, 2026, 7:24 p.m.
NEDg Description generation batch_6a10ae56b8a48190a448e1a4bd938a2b completed May 22, 2026, 7:28 p.m.
NED2 Entity disambiguation (via description) batch_6a10af2b626081908a1a67773654a991 completed May 22, 2026, 7:31 p.m.
Created at: April 21, 2026, 2:32 p.m.