Triple

T25804284
Position Surface form Disambiguated ID Type / Status
Subject Charles Starkweather killing spree E649920 entity
Predicate victim P870 FINISHED
Object C. Lauer Ward
C. Lauer Ward was a prominent Lincoln, Nebraska industrialist and socialite who became one of the most high-profile victims in Charles Starkweather’s 1958 murder spree.
E1701022 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: C. Lauer Ward | Statement: [Charles Starkweather killing spree, victim, C. Lauer Ward]
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: C. Lauer Ward
Triple: [Charles Starkweather killing spree, victim, C. Lauer Ward]
Generated description
C. Lauer Ward was a prominent Lincoln, Nebraska industrialist and socialite who became one of the most high-profile victims in Charles Starkweather’s 1958 murder spree.

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_69e7ab35d264819095367f7e80c983ff completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f5ffcdc66c8190a7aa2f1bdfe01f98 completed May 2, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10eca46b608190984357a7ffc2f8e7 completed May 22, 2026, 11:54 p.m.
NEDg Description generation batch_6a10ee7a469881908be91b7901ada3a2 completed May 23, 2026, 12:02 a.m.
NED2 Entity disambiguation (via description) batch_6a10ef6795e08190a1ba5f600628316b completed May 23, 2026, 12:05 a.m.
Created at: April 22, 2026, 7:01 a.m.