Triple

T35543427

Position	Surface form	Disambiguated ID	Type / Status
Subject	Red Beans and Rice	`E1027126`	entity
Predicate	traditionallyEatenOn	`P199917`	FINISHED
Object	Monday Monday is the first weekday in many calendars, commonly associated with the start of the workweek and various cultural and culinary traditions.	`E2145283`	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: Monday | Statement: [Red Beans and Rice, traditionallyEatenOn, Monday]

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: Monday
Triple: [Red Beans and Rice, traditionallyEatenOn, Monday]

Generated description

Monday is the first weekday in many calendars, commonly associated with the start of the workweek and various cultural and culinary traditions.

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

Target predicate: traditionallyEatenOn
Context triple: [Red Beans and Rice, traditionallyEatenOn, Monday]

A. holidayFood
Indicates that something is a type of food traditionally associated with or consumed during a holiday or festive occasion.
B. coFeastDayWith
Indicates that two or more entities share the same feast day or are commemorated liturgically on the same calendar date.
C. isCelebratedIn
Indicates that an event, person, or occasion is honored, observed, or commemorated within a particular place, time, or context.
D. isCelebratedWith
Indicates that an event, occasion, or person is marked or honored using a particular method, activity, or accompanying element (e.g., a party, ritual, or object).
E. eatenOnOccasion
Indicates that one entity is consumed or eaten by another only at certain times or under specific circumstances, rather than regularly or habitually.
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_69f76e008ba08190927acd8e5e0344c8`	completed	May 3, 2026, 3:47 p.m.
NER	Named-entity recognition	`batch_69ff63e6b61081909c648bf0ff279481`	completed	May 9, 2026, 4:42 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a3852eb5ee881909aecfe7cb3add09a`	completed	June 21, 2026, 9:08 p.m.
NEDg	Description generation	`batch_6a38537cefd48190b5d223a5506b4f2d`	completed	June 21, 2026, 9:11 p.m.
NED2	Entity disambiguation (via description)	`batch_6a38546765988190bba6f0bc046274df`	completed	June 21, 2026, 9:15 p.m.
PD	Predicate disambiguation	`batch_69ff6381867881908ae0545df4b71df5`	completed	May 9, 2026, 4:40 p.m.
PDg	Predicate description generation	`batch_69ff63e5c35081908f69ac44e12b8f52`	completed	May 9, 2026, 4:42 p.m.

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