Triple

T20511585
Position Surface form Disambiguated ID Type / Status
Subject Dana Holding Corporation E503577 entity
Predicate tickerSymbol P1447 FINISHED
Object DAN
DAN is the stock ticker symbol for Dana Incorporated, a major American manufacturer of drivetrain, sealing, and thermal-management components for the automotive and commercial vehicle industries.
E1435463 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: DAN | Statement: [Dana Holding Corporation, tickerSymbol, DAN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DAN
Context triple: [Dana Holding Corporation, tickerSymbol, DAN]
  • A. 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.
  • B. DAN
    DAN is the station code for Dane Road tram stop on Greater Manchester's Metrolink light rail network in England.
  • C. DAN
    DAN is the IATA airport code for Danville Regional Airport, a public airport serving Danville, Virginia, in the United States.
  • D. Dan
    Dan is the protagonist of Cory Doctorow's science fiction novel "Down and Out in the Magic Kingdom," a post-scarcity future resident of a reputation-based society centered around a Disney theme park.
  • E. Dan
    Dan is a male given name commonly used in English-speaking countries, often as a short form of Daniel.
  • 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: DAN
Triple: [Dana Holding Corporation, tickerSymbol, DAN]
Generated description
DAN is the stock ticker symbol for Dana Incorporated, a major American manufacturer of drivetrain, sealing, and thermal-management components for the automotive and commercial vehicle industries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: DAN
Target entity description: DAN is the stock ticker symbol for Dana Incorporated, a major American manufacturer of drivetrain, sealing, and thermal-management components for the automotive and commercial vehicle industries.
  • A. 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.
  • B. DAN
    DAN is the station code for Dane Road tram stop on Greater Manchester's Metrolink light rail network in England.
  • C. DAN
    DAN is the IATA airport code for Danville Regional Airport, a public airport serving Danville, Virginia, in the United States.
  • D. Dan
    Dan is the protagonist of Cory Doctorow's science fiction novel "Down and Out in the Magic Kingdom," a post-scarcity future resident of a reputation-based society centered around a Disney theme park.
  • E. Dan
    Dan is a male given name commonly used in English-speaking countries, often as a short form of Daniel.
  • 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_69e0b4b2aa788190ae9eb37c1d73b1f1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69dcb8f5c8190b0d4c09f3669a8ec completed April 20, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a089d36f4688190a084267f85744cc0 completed May 16, 2026, 4:37 p.m.
NEDg Description generation batch_6a089de26d548190882d6685aaa7f5fa completed May 16, 2026, 4:40 p.m.
NED2 Entity disambiguation (via description) batch_6a089e5c696881909d1d793b884464a1 completed May 16, 2026, 4:42 p.m.
Created at: April 16, 2026, 11:36 a.m.