Triple

T37977999

Position	Surface form	Disambiguated ID	Type / Status
Subject	Tunica language	`E947475`	entity
Predicate	documentedFromSpeaker	`P189697`	FINISHED
Object	Sesostrie Youchigant Sesostrie Youchigant was a key native speaker whose speech provided crucial linguistic data for the documentation and preservation of the Tunica language.	`E2250644`	NE FINISHED

How this triple was built (3 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: Sesostrie Youchigant | Statement: [Tunica language, documentedFromSpeaker, Sesostrie Youchigant]

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: Sesostrie Youchigant
Triple: [Tunica language, documentedFromSpeaker, Sesostrie Youchigant]

Generated description

Sesostrie Youchigant was a key native speaker whose speech provided crucial linguistic data for the documentation and preservation of the Tunica language.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: documentedFromSpeaker
Context triple: [Tunica language, documentedFromSpeaker, Sesostrie Youchigant]

A. spokeAt
Indicates that a person delivered a talk, speech, or presentation at a particular event or location.
B. representedBySpeaker
Indicates that something is expressed, conveyed, or symbolized through a particular speaker as its representative voice or agent.
C. spokenOn
Indicates that an utterance or speech act occurred at or during a specific time or date.
D. usedBySpeakers
Indicates that something (such as a resource, tool, or method) is employed or utilized by speakers.
E. speaksFor
Indicates that one entity expresses views, decisions, or positions on behalf of another entity.
F. None of above. chosen

Provenance (7 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_69f76ef7db908190bba6086673a32300`	completed	May 3, 2026, 3:51 p.m.
NER	Named-entity recognition	`batch_69fbc7b78f9481909f4f8fc2e3fdcde1`	completed	May 6, 2026, 10:59 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a412cb0245c8190be72ccc20d8cd8c8`	completed	June 28, 2026, 2:16 p.m.
NEDg	Description generation	`batch_6a412d26dd3c81909702c04cd5ebb3ba`	completed	June 28, 2026, 2:18 p.m.
NED2	Entity disambiguation (via description)	`batch_6a412d7ba9b0819098b4c58102fb45cf`	completed	June 28, 2026, 2:19 p.m.
PD	Predicate disambiguation	`batch_69fbbd18c9908190928d274f8731dfa8`	completed	May 6, 2026, 10:13 p.m.
PDg	Predicate description generation	`batch_69fbc7b6c2c88190ad4f58980834053c`	completed	May 6, 2026, 10:59 p.m.

Created at: May 3, 2026, 4:20 p.m.