Triple

T6808714
Position Surface form Disambiguated ID Type / Status
Subject American Association (1884 season) E156374 entity
Predicate featuredPlayer P2630 FINISHED
Object Dave Orr
Dave Orr was a prominent 19th-century American baseball first baseman known for his exceptional hitting and high batting averages in the 1880s.
 E623395 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: Dave Orr | Statement: [American Association (1884 season), featuredPlayer, Dave Orr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dave Orr
Context triple: [American Association (1884 season), featuredPlayer, Dave Orr]
  • A. Mark Orr
    Mark Orr is a collegiate sports administrator who serves as the athletic director for the Sacramento State Hornets.
  • B. Phil C. Orr
    Phil C. Orr was an American archaeologist best known for unearthing the ancient human remains at the Arlington Springs Man site on California’s Santa Rosa Island.
  • C. Eric Orsborn
    Eric Orsborn is an American local government leader serving as the mayor of Buckeye, Arizona.
  • D. Tim Orr
    Tim Orr is an American cinematographer known for his frequent collaborations with director David Gordon Green on independent and studio films.
  • E. David Scearce
    David Scearce is a Canadian screenwriter best known for adapting Christopher Isherwood’s novel into the acclaimed film "A Single Man."
  • 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: Dave Orr
Triple: [American Association (1884 season), featuredPlayer, Dave Orr]
Generated description
Dave Orr was a prominent 19th-century American baseball first baseman known for his exceptional hitting and high batting averages in the 1880s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dave Orr
Target entity description: Dave Orr was a prominent 19th-century American baseball first baseman known for his exceptional hitting and high batting averages in the 1880s.
  • A. Mark Orr
    Mark Orr is a collegiate sports administrator who serves as the athletic director for the Sacramento State Hornets.
  • B. Phil C. Orr
    Phil C. Orr was an American archaeologist best known for unearthing the ancient human remains at the Arlington Springs Man site on California’s Santa Rosa Island.
  • C. Eric Orsborn
    Eric Orsborn is an American local government leader serving as the mayor of Buckeye, Arizona.
  • D. Tim Orr
    Tim Orr is an American cinematographer known for his frequent collaborations with director David Gordon Green on independent and studio films.
  • E. David Scearce
    David Scearce is a Canadian screenwriter best known for adapting Christopher Isherwood’s novel into the acclaimed film "A Single Man."
  • 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_69c68826e6a48190a3d220b541e639de completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d30b56c48190a5b244ea7e0c669a completed March 27, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72f9926ec8190bff8d01e3ab0d0da completed March 28, 2026, 1:32 a.m.
NEDg Description generation batch_69c7344ecb908190bcad8785b42c6a4d completed March 28, 2026, 1:52 a.m.
NED2 Entity disambiguation (via description) batch_69c734af23708190880e9ddb63a4820d completed March 28, 2026, 1:53 a.m.
Created at: March 27, 2026, 2:16 p.m.