Triple

T29403200

Position	Surface form	Disambiguated ID	Type / Status
Subject	Tom Mix	`E745706`	entity
Predicate	signatureHorse	`P83579`	FINISHED
Object	Tony the Wonder Horse Tony the Wonder Horse was the famous stunt-performing equine co-star of silent-era Western film star Tom Mix, renowned for his daring feats on screen.	`E1867655`	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: Tony the Wonder Horse | Statement: [Tom Mix, signatureHorse, Tony the Wonder Horse]

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: Tony the Wonder Horse
Triple: [Tom Mix, signatureHorse, Tony the Wonder Horse]

Generated description

Tony the Wonder Horse was the famous stunt-performing equine co-star of silent-era Western film star Tom Mix, renowned for his daring feats on screen.

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

Target predicate: signatureHorse
Context triple: [Tom Mix, signatureHorse, Tony the Wonder Horse]

A. signature
Indicates that one entity has provided an official or personal signed endorsement, authorization, or acknowledgment on or for another entity.
B. signatureNumber
Indicates the identifying number assigned to a specific signature within a document or signing process.
C. signatureImage
Indicates that an entity has an associated image that visually represents its signature.
D. signatureVehicle chosen
Indicates that the vehicle is the primary or characteristic mode of transportation associated with a particular entity (such as a person, group, or brand).
E. hasSignFor
Indicates that one entity displays, bears, or provides a sign, symbol, or notice that represents, directs attention to, or gives information about another entity.
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_69f0a79eb7d081908c67197a5f347e68`	completed	April 28, 2026, 12:27 p.m.
NER	Named-entity recognition	`batch_69f67d3624248190a36a9b2d2e9778d4`	completed	May 2, 2026, 10:39 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a25d919262081908856f094fd843117`	completed	June 7, 2026, 8:48 p.m.
NEDg	Description generation	`batch_6a25dd39b5e08190afdacb75ea8ef091`	completed	June 7, 2026, 9:06 p.m.
NED2	Entity disambiguation (via description)	`batch_6a25e28ca1988190929154c0ceb6d42b`	completed	June 7, 2026, 9:28 p.m.
PD	Predicate disambiguation	`batch_69f678ce54b081908c26edfd49e39c60`	completed	May 2, 2026, 10:21 p.m.

Created at: April 28, 2026, 2:52 p.m.