Triple

T38277723

Position	Surface form	Disambiguated ID	Type / Status
Subject	Al-Muʿallaqāt	`E1022004`	entity
Predicate	compilerTradition	`P128152`	FINISHED
Object	Hammad al-Rāwiya Hammad al-Rāwiya was an 8th-century Arab scholar and rhapsode renowned for collecting, memorizing, and transmitting early Arabic poetry, including the celebrated pre-Islamic odes.	`E2262432`	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: Hammad al-Rāwiya | Statement: [Al-Muʿallaqāt, compilerTradition, Hammad al-Rāwiya]

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: Hammad al-Rāwiya
Triple: [Al-Muʿallaqāt, compilerTradition, Hammad al-Rāwiya]

Generated description

Hammad al-Rāwiya was an 8th-century Arab scholar and rhapsode renowned for collecting, memorizing, and transmitting early Arabic poetry, including the celebrated pre-Islamic odes.

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

Target predicate: compilerTradition
Context triple: [Al-Muʿallaqāt, compilerTradition, Hammad al-Rāwiya]

A. compilerType
Indicates the specific kind or category of compiler associated with or used by an entity.
B. compilerFamily
Indicates that one compiler belongs to, or is categorized under, a particular family or lineage of related compilers.
C. compilerLanguage
Indicates that one entity is the programming language in which a given compiler is implemented.
D. compiledByTradition chosen
Indicates that something has been assembled, organized, or codified according to established customs, practices, or traditional authority rather than by a single identifiable author.
E. formerCompiler
Indicates that an entity previously served as a compiler (e.g., of texts, code, or documents) for another entity but no longer holds that role.
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_69f76df0cddc81908d16c1556ff4097f`	completed	May 3, 2026, 3:46 p.m.
NER	Named-entity recognition	`batch_69fccbd826708190b5fab12c4236299a`	completed	May 7, 2026, 5:28 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a4193e0bb3081909eb4a8925dc47ec3`	completed	June 28, 2026, 9:36 p.m.
NEDg	Description generation	`batch_6a419490d3048190aef9f21f06582c91`	completed	June 28, 2026, 9:39 p.m.
NED2	Entity disambiguation (via description)	`batch_6a419547a7fc8190a57a5b1d77442730`	completed	June 28, 2026, 9:42 p.m.
PD	Predicate disambiguation	`batch_69fcc58838e08190b8fa54aa5c165f2d`	completed	May 7, 2026, 5:02 p.m.

Created at: May 3, 2026, 4:30 p.m.