Triple

T33263723

Position	Surface form	Disambiguated ID	Type / Status
Subject	Fire in the Lake	`E851589`	entity
Predicate	NationalBookAwardCategory	`P192726`	FINISHED
Object	Contemporary Affairs Contemporary Affairs is a National Book Award category that recognizes outstanding nonfiction works examining current political, social, and global issues.	`E2043686`	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: Contemporary Affairs | Statement: [Fire in the Lake, NationalBookAwardCategory, Contemporary Affairs]

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: Contemporary Affairs
Triple: [Fire in the Lake, NationalBookAwardCategory, Contemporary Affairs]

Generated description

Contemporary Affairs is a National Book Award category that recognizes outstanding nonfiction works examining current political, social, and global issues.

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

Target predicate: NationalBookAwardCategory
Context triple: [Fire in the Lake, NationalBookAwardCategory, Contemporary Affairs]

A. NationalBookAwardFor
Indicates that an entity has received or been honored with a National Book Award for a particular work or contribution.
B. literaryAwardedBy
Indicates that a literary award is given or conferred by a particular person, organization, or institution.
C. NobelPrizeCategory
Indicates the specific Nobel Prize field or discipline (such as Physics, Literature, or Peace) associated with an award or laureate.
D. PulitzerPrizeVolume
Indicates that a work is a volume or installment that has received a Pulitzer Prize.
E. dateAwarded Pulitzer Prize for Fiction
Indicates that a specific date is when an entity received the Pulitzer Prize for Fiction.
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_69f349642dac81908a37ffcc3b976a55`	completed	April 30, 2026, 12:21 p.m.
NER	Named-entity recognition	`batch_69fd2839880c819099a7a89783f2270e`	completed	May 8, 2026, 12:03 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a35391a58e48190bbc31bc90f5dab21`	completed	June 19, 2026, 12:42 p.m.
NEDg	Description generation	`batch_6a3539d6f5448190aee35547822a99ff`	completed	June 19, 2026, 12:45 p.m.
NED2	Entity disambiguation (via description)	`batch_6a353abc2f7c8190bb5843c25bb84256`	completed	June 19, 2026, 12:49 p.m.
PD	Predicate disambiguation	`batch_69fd23dc5da48190ae8ba08947d34956`	completed	May 7, 2026, 11:44 p.m.
PDg	Predicate description generation	`batch_69fd28379d2c8190903ba228ee1cc756`	completed	May 8, 2026, 12:03 a.m.

Created at: May 1, 2026, 1:32 a.m.