Triple

T35439423

Position	Surface form	Disambiguated ID	Type / Status
Subject	Melpa people	`E1024299`	entity
Predicate	notableAnthropologistStudying	`P147145`	FINISHED
Object	Andrew Strathern Andrew Strathern is a prominent social anthropologist known for his extensive ethnographic research in Papua New Guinea and influential contributions to the study of kinship, ritual, and political systems.	`E2170927`	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: Andrew Strathern | Statement: [Melpa people, notableAnthropologistStudying, Andrew Strathern]

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: Andrew Strathern
Triple: [Melpa people, notableAnthropologistStudying, Andrew Strathern]

Generated description

Andrew Strathern is a prominent social anthropologist known for his extensive ethnographic research in Papua New Guinea and influential contributions to the study of kinship, ritual, and political systems.

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

Target predicate: notableAnthropologistStudying
Context triple: [Melpa people, notableAnthropologistStudying, Andrew Strathern]

A. studiesPeople
Indicates that one person systematically examines, researches, or learns about other people.
B. hasEthnographicFocusOn
Indicates that something (such as a work, study, or project) centers its ethnographic research or analysis on a particular group, culture, or community.
C. hasNotableEthnographyBy chosen
Indicates that an entity is the subject of a notable ethnographic study created by a specified author or researcher.
D. notableResearchers
Indicates that the subject has researchers who are particularly distinguished or recognized in their field associated with it.
E. peopleStudied
Indicates that one or more people engaged in studying a particular subject, topic, or entity.
F. None of above.

Provenance (6 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_69f76df743c48190aecb6dd79efb0d95`	completed	May 3, 2026, 3:47 p.m.
NER	Named-entity recognition	`batch_6a037c8d06cc8190ab6a5e18d9d2571e`	completed	May 12, 2026, 7:16 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a38dde69828819089e0de493d6e87a6`	completed	June 22, 2026, 7:01 a.m.
NEDg	Description generation	`batch_6a390668ee148190a158ff1a53156d19`	completed	June 22, 2026, 9:54 a.m.
NED2	Entity disambiguation (via description)	`batch_6a3906c82fdc8190ae013822ba54a678`	completed	June 22, 2026, 9:56 a.m.
PD	Predicate disambiguation	`batch_6a037a0324d08190ac5b610cc0f6a38c`	completed	May 12, 2026, 7:05 p.m.

Created at: May 3, 2026, 4:04 p.m.