Triple

T5848350
Position Surface form Disambiguated ID Type / Status
Subject Dan Fouts E129766 entity
Predicate hallOfFameId P54964 FINISHED
Object fouts-dan
Dan Fouts is a Pro Football Hall of Fame quarterback best known for his prolific passing career with the San Diego Chargers in the NFL.
 E549482 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: fouts-dan | Statement: [Dan Fouts, hallOfFameId, fouts-dan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: fouts-dan
Context triple: [Dan Fouts, hallOfFameId, fouts-dan]
  • A. DWARS
    DWARS is the youth organization of the Dutch green-left political party GroenLinks, engaging young people in progressive and environmental politics.
  • B. DAN
    DAN is a neutron-detecting scientific instrument on NASA's Curiosity rover used to measure subsurface hydrogen and infer the presence of water on Mars.
  • C. DUT
    DUT is a public university of technology located in Durban, South Africa, offering a range of career-focused and applied science programs.
  • D. FUNO
    FUNO is the stock ticker symbol for Fibra Uno, one of Mexico’s largest real estate investment trusts (REITs) focused on commercial properties.
  • E. Fu
    Fu is a Chinese surname borne by various notable historical and contemporary figures across politics, arts, and other fields.
  • 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: fouts-dan
Triple: [Dan Fouts, hallOfFameId, fouts-dan]
Generated description
Dan Fouts is a Pro Football Hall of Fame quarterback best known for his prolific passing career with the San Diego Chargers in the NFL.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: fouts-dan
Target entity description: Dan Fouts is a Pro Football Hall of Fame quarterback best known for his prolific passing career with the San Diego Chargers in the NFL.
  • A. DWARS
    DWARS is the youth organization of the Dutch green-left political party GroenLinks, engaging young people in progressive and environmental politics.
  • B. DAN
    DAN is a neutron-detecting scientific instrument on NASA's Curiosity rover used to measure subsurface hydrogen and infer the presence of water on Mars.
  • C. DUT
    DUT is a public university of technology located in Durban, South Africa, offering a range of career-focused and applied science programs.
  • D. FUNO
    FUNO is the stock ticker symbol for Fibra Uno, one of Mexico’s largest real estate investment trusts (REITs) focused on commercial properties.
  • E. Fu
    Fu is a Chinese surname borne by various notable historical and contemporary figures across politics, arts, and other fields.
  • 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_69c0084bd31c8190a796bb6284845e83 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c035145a0c8190941945a83a3f2416 completed March 22, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1ad4d888190b4a1e605887b2e2c completed March 23, 2026, 2:13 a.m.
NEDg Description generation batch_69c0a27765688190b02a1b0cd39a87fe completed March 23, 2026, 2:16 a.m.
NED2 Entity disambiguation (via description) batch_69c0a2ff1a948190b4ac9e6e5941ef62 completed March 23, 2026, 2:18 a.m.
Created at: March 22, 2026, 3:55 p.m.