Triple

T2469653
Position Surface form Disambiguated ID Type / Status
Subject Cantor Fitzgerald E55338 entity
Predicate hasKeyPerson P256 FINISHED
Object Shawn Matthews
Shawn Matthews is a senior executive associated with the financial services firm Cantor Fitzgerald.
 E269658 NE FINISHED

How this triple was built (4 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: Shawn Matthews | Statement: [Cantor Fitzgerald, hasKeyPerson, Shawn Matthews]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shawn Matthews
Context triple: [Cantor Fitzgerald, hasKeyPerson, Shawn Matthews]
  • A. Shawn Hatosy
    Shawn Hatosy is an American actor known for his roles in films like "Alpha Dog" and the TV series "Animal Kingdom."
  • B. Bryan Shaw
    Bryan Shaw is an American Major League Baseball relief pitcher known for his durability and heavy workload out of the bullpen, particularly during his tenure with the Cleveland Indians.
  • C. Doug Shane
    Doug Shane is an American aerospace engineer and test pilot known for his leadership roles at the experimental aircraft company Scaled Composites.
  • D. Shawn Horcoff
    Shawn Horcoff is a former NHL center, best known for his long tenure with the Edmonton Oilers, who transitioned into hockey management after retiring as a player.
  • E. Christian Shank
    Christian Shank was an early settler and landowner after whom the town of Shanksville, Pennsylvania, was named.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Shawn Matthews
Triple: [Cantor Fitzgerald, hasKeyPerson, Shawn Matthews]
Generated description
Shawn Matthews is a senior executive associated with the financial services firm Cantor Fitzgerald.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shawn Matthews
Target entity description: Shawn Matthews is a senior executive associated with the financial services firm Cantor Fitzgerald.
  • A. Shawn Hatosy
    Shawn Hatosy is an American actor known for his roles in films like "Alpha Dog" and the TV series "Animal Kingdom."
  • B. Bryan Shaw
    Bryan Shaw is an American Major League Baseball relief pitcher known for his durability and heavy workload out of the bullpen, particularly during his tenure with the Cleveland Indians.
  • C. Doug Shane
    Doug Shane is an American aerospace engineer and test pilot known for his leadership roles at the experimental aircraft company Scaled Composites.
  • D. Shawn Horcoff
    Shawn Horcoff is a former NHL center, best known for his long tenure with the Edmonton Oilers, who transitioned into hockey management after retiring as a player.
  • E. Christian Shank
    Christian Shank was an early settler and landowner after whom the town of Shanksville, Pennsylvania, was named.
  • F. None of above. chosen

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_69ab49e3622c8190ad22afa2c4fbb807 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd135c64881908cccde3317d14b67 completed March 7, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69af17a29c2c8190b9e7b49d086ad9d5 completed March 9, 2026, 6:55 p.m.
NEDg Description generation batch_69af183b63848190ac62869b1fdb672c completed March 9, 2026, 6:58 p.m.
NED2 Entity disambiguation (via description) batch_69af18fc1a0c8190aeb24f304cbba35b completed March 9, 2026, 7:01 p.m.
Created at: March 6, 2026, 9:44 p.m.