Triple

T26036454
Position Surface form Disambiguated ID Type / Status
Subject Whitten Oval E647564 entity
Predicate namedAfter P63 FINISHED
Object Ted Whitten
Ted Whitten was a legendary Australian rules footballer and coach, widely regarded as one of the greatest players in the history of the sport and an iconic figure for the Footscray/Western Bulldogs club.
E1716782 NE FINISHED

How this triple was built (2 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: Ted Whitten | Statement: [Whitten Oval, namedAfter, Ted Whitten]
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: Ted Whitten
Triple: [Whitten Oval, namedAfter, Ted Whitten]
Generated description
Ted Whitten was a legendary Australian rules footballer and coach, widely regarded as one of the greatest players in the history of the sport and an iconic figure for the Footscray/Western Bulldogs club.

Provenance (5 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_69e77e8c88f08190858c4c81bd2e1b9a completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f6061e95848190b6a47fd49280ad1c completed May 2, 2026, 2:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a118f8ecd94819095a9503866261e03 completed May 23, 2026, 11:29 a.m.
NEDg Description generation batch_6a11902e8fa08190a631fab5541f89ca completed May 23, 2026, 11:31 a.m.
NED2 Entity disambiguation (via description) batch_6a119094eaf88190a68b09d1ec79b634 completed May 23, 2026, 11:33 a.m.
Created at: April 22, 2026, 9:08 a.m.