Triple

T34910269
Position Surface form Disambiguated ID Type / Status
Subject Rick Tocchet E1006843 entity
Predicate hallOfFame P1750 FINISHED
Object Philadelphia Flyers Hall of Fame
The Philadelphia Flyers Hall of Fame is an honor established by the NHL franchise to recognize and celebrate the most outstanding players, coaches, and contributors in the team’s history.
E8163 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: Philadelphia Flyers Hall of Fame | Statement: [Rick Tocchet, hallOfFame, Philadelphia Flyers Hall of Fame]
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: Philadelphia Flyers Hall of Fame
Triple: [Rick Tocchet, hallOfFame, Philadelphia Flyers Hall of Fame]
Generated description
The Philadelphia Flyers Hall of Fame is an honor established by the NHL franchise to recognize and celebrate the most outstanding players, coaches, and contributors in the team’s history.

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_69f76dc1b4a081909b4c6e4d8ec0aa2d completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f7820e2f348190a904bcb407de549e completed May 3, 2026, 5:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37a8af720c8190981ab486e02ef874 completed June 21, 2026, 9:02 a.m.
NEDg Description generation batch_6a37a9588c6c8190b67de38dcbd92f41 completed June 21, 2026, 9:05 a.m.
NED2 Entity disambiguation (via description) batch_6a37aa2e2c3881909f630c9e769c4943 completed June 21, 2026, 9:09 a.m.
Created at: May 3, 2026, 4 p.m.