Triple

T25417156
Position Surface form Disambiguated ID Type / Status
Subject Matt Carle E636868 entity
Predicate fullName P16 FINISHED
Object Matthew Carle
Matthew Carle is a retired American professional ice hockey defenseman best known for his NHL career with teams including the San Jose Sharks, Tampa Bay Lightning, Philadelphia Flyers, and Nashville Predators.
E1682805 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: Matthew Carle | Statement: [Matt Carle, fullName, Matthew Carle]
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: Matthew Carle
Triple: [Matt Carle, fullName, Matthew Carle]
Generated description
Matthew Carle is a retired American professional ice hockey defenseman best known for his NHL career with teams including the San Jose Sharks, Tampa Bay Lightning, Philadelphia Flyers, and Nashville Predators.

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_69e75db4135881909acc287ebcb7a505 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5b0129c648190b6afbe55d574b574 completed May 2, 2026, 8:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10ad577e0481908b38244892ca4c70 completed May 22, 2026, 7:24 p.m.
NEDg Description generation batch_6a10ae2f577481909be995d38010dcf7 completed May 22, 2026, 7:27 p.m.
NED2 Entity disambiguation (via description) batch_6a10aef10de8819099e12e65f4f9e768 completed May 22, 2026, 7:30 p.m.
Created at: April 21, 2026, 1:55 p.m.