Triple

T38285105

Position	Surface form	Disambiguated ID	Type / Status
Subject	Canvas Stadium	`E1022183`	entity
Predicate	namedAfterFieldHonors	`P46466`	FINISHED
Object	Sonny Lubick Sonny Lubick is a highly respected former Colorado State University head football coach known for revitalizing the program and becoming one of the most successful and beloved figures in its athletic history.	`E2262941`	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: Sonny Lubick | Statement: [Canvas Stadium, namedAfterFieldHonors, Sonny Lubick]

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: Sonny Lubick
Triple: [Canvas Stadium, namedAfterFieldHonors, Sonny Lubick]

Generated description

Sonny Lubick is a highly respected former Colorado State University head football coach known for revitalizing the program and becoming one of the most successful and beloved figures in its athletic history.

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

Target predicate: namedAfterFieldHonors
Context triple: [Canvas Stadium, namedAfterFieldHonors, Sonny Lubick]

A. nameHonors chosen
Indicates that a name is given to honor, commemorate, or pay tribute to a particular entity.
B. namedInHonorBy
Indicates that one entity has been used as the namesake or dedicatee by another entity, signifying that the latter is named in honor of the former.
C. namedAwardAfter
Indicates that an award has been given a name in honor of or derived from a particular person, group, or entity.
D. namedAfterAwardYear
Indicates that one entity is named after the year in which a particular award was given or received.
E. honoreeField
Indicates that one entity is recognized or designated as the honoree associated with another entity, such as an award, event, or dedication.
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_69fd7e364a648190a1e9e1d9fc76e99e`	completed	May 8, 2026, 6:09 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a4193e4c55c81908e1f6b199e5fb087`	completed	June 28, 2026, 9:36 p.m.
NEDg	Description generation	`batch_6a4194a73dcc8190a4bfba8dd33acd8c`	completed	June 28, 2026, 9:39 p.m.
NED2	Entity disambiguation (via description)	`batch_6a41956d0f208190be2322f18ed193cf`	completed	June 28, 2026, 9:43 p.m.
PD	Predicate disambiguation	`batch_69fd7bb547608190a3b04dddbca6b8bc`	completed	May 8, 2026, 5:59 a.m.

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