Triple

T38498245

Position	Surface form	Disambiguated ID	Type / Status
Subject	Joseph Hooton Taylor Jr.	`E919753`	entity
Predicate	NobelPrizeIn	`P1861`	FINISHED
Object	Physics Physics is the fundamental natural science that studies matter, energy, space, time, and the laws governing their interactions, forming the basis for understanding the physical universe.	`E92032`	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: Physics | Statement: [Joseph Hooton Taylor Jr., NobelPrizeIn, Physics]

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: Physics
Triple: [Joseph Hooton Taylor Jr., NobelPrizeIn, Physics]

Generated description

Physics is the fundamental natural science that studies matter, energy, space, time, and the laws governing their interactions, forming the basis for understanding the physical universe.

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

Target predicate: NobelPrizeIn
Context triple: [Joseph Hooton Taylor Jr., NobelPrizeIn, Physics]

A. NobelPrizeShare
Indicates the proportion or fraction of a Nobel Prize that is allocated to a particular laureate or laureate entity.
B. nobelPrizeRelated
Indicates that there is a connection or association between an entity and the Nobel Prize, such as receiving, being nominated for, or otherwise being significantly linked to it.
C. NobelPrizeCoLaureate
Indicates that two or more individuals share the same Nobel Prize as co-recipients for a particular award and year.
D. numberOfNobelPrizes
Indicates the count of Nobel Prizes that have been awarded to a given entity.
E. NobelPrizeCategory chosen
Indicates the specific Nobel Prize field or discipline (such as Physics, Literature, or Peace) associated with an award or laureate.
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_69f76e9ddd4481908f8c04439d848f9d`	completed	May 3, 2026, 3:49 p.m.
NER	Named-entity recognition	`batch_69fcd313e61c8190b174b331365b803f`	completed	May 7, 2026, 5:59 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a41d6558f188190b7b780b83725fc14`	completed	June 29, 2026, 2:20 a.m.
NEDg	Description generation	`batch_6a41da06ef4c8190b57e1d22a899d7e2`	completed	June 29, 2026, 2:35 a.m.
NED2	Entity disambiguation (via description)	`batch_6a41da8a6bb88190b229d898f8449fa9`	completed	June 29, 2026, 2:38 a.m.
PD	Predicate disambiguation	`batch_69fcd1f6b2e08190bf0300ae7c9ae67a`	completed	May 7, 2026, 5:55 p.m.

Created at: May 3, 2026, 4:31 p.m.