Triple

T28712514

Position	Surface form	Disambiguated ID	Type / Status
Subject	Carian alphabet	`E729865`	entity
Predicate	deciphermentContributedBy	`P53089`	FINISHED
Object	Ignacio-Javier Adiego Ignacio-Javier Adiego is a linguist and epigrapher known for his significant contributions to the study and decipherment of ancient Anatolian languages and scripts.	`E1923361`	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: Ignacio-Javier Adiego | Statement: [Carian alphabet, deciphermentContributedBy, Ignacio-Javier Adiego]

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: Ignacio-Javier Adiego
Triple: [Carian alphabet, deciphermentContributedBy, Ignacio-Javier Adiego]

Generated description

Ignacio-Javier Adiego is a linguist and epigrapher known for his significant contributions to the study and decipherment of ancient Anatolian languages and scripts.

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

Target predicate: deciphermentContributedBy
Context triple: [Carian alphabet, deciphermentContributedBy, Ignacio-Javier Adiego]

A. deciphermentContributor chosen
Indicates that an entity contributed to the process of deciphering or interpreting another entity (such as a text, code, or inscription).
B. deciphermentDate
Indicates the date on which something (such as a text, code, or inscription) was successfully deciphered or decoded.
C. deciphermentYear
Indicates the year in which something (typically a script, code, or inscription) was successfully deciphered or interpreted.
D. decipheredFrom
Indicates that something has been interpreted, decoded, or understood based on information derived from another source.
E. deciphermentPeriod
Indicates the time span during which the decipherment of something (such as a script, code, or text) took place.
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_69f043e7d5a4819094b18aca10b1e024`	completed	April 28, 2026, 5:21 a.m.
NER	Named-entity recognition	`batch_69f658ee40088190b71e1219407690d0`	completed	May 2, 2026, 8:05 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a2863b01c5481908653ab4426d53b95`	completed	June 9, 2026, 7:04 p.m.
NEDg	Description generation	`batch_6a2866c192088190a41c695f10cd238d`	completed	June 9, 2026, 7:17 p.m.
NED2	Entity disambiguation (via description)	`batch_6a286737b96c8190a559e995190ab7cb`	completed	June 9, 2026, 7:19 p.m.
PD	Predicate disambiguation	`batch_69f65760fd3081908ffe014a5e2bf069`	completed	May 2, 2026, 7:58 p.m.

Created at: April 28, 2026, 5:48 a.m.