Triple

T36298739
Position Surface form Disambiguated ID Type / Status
Subject Húŋkpapȟa E893443 entity
Predicate notableLeader P304 FINISHED
Object Big Head
Big Head was a prominent Húŋkpapȟa Lakota leader known for his role in 19th-century Plains history and resistance to U.S. expansion.
E2178384 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: Big Head | Statement: [Húŋkpapȟa, notableLeader, Big Head]
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: Big Head
Triple: [Húŋkpapȟa, notableLeader, Big Head]
Generated description
Big Head was a prominent Húŋkpapȟa Lakota leader known for his role in 19th-century Plains history and resistance to U.S. expansion.

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_69f76e4a61f0819084a2b68dbbb4efc6 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7ba01d6988190a91551a78510adb7 completed May 3, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a397d802d948190b95f4d1aff327290 completed June 22, 2026, 6:22 p.m.
NEDg Description generation batch_6a3982c390f081908fa6f1e205358ca1 completed June 22, 2026, 6:45 p.m.
NED2 Entity disambiguation (via description) batch_6a3983802c3c81908b0cd37ce3a04f53 completed June 22, 2026, 6:48 p.m.
Created at: May 3, 2026, 4:09 p.m.