Triple

T16127423
Position Surface form Disambiguated ID Type / Status
Subject David Rittenhouse E391307 entity
Predicate familyName P18 FINISHED
Object Rittenhouse
Rittenhouse is a surname most notably associated with David Rittenhouse, an 18th-century American astronomer, inventor, and statesman.
E1196046 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: Rittenhouse | Statement: [David Rittenhouse, familyName, Rittenhouse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rittenhouse
Context triple: [David Rittenhouse, familyName, Rittenhouse]
  • A. Hauptman
    Hauptman is a surname most notably associated with Herbert A. Hauptman, the Nobel Prize–winning mathematician and crystallographer.
  • B. Dellinger
    Dellinger is a surname most notably associated with Walter Dellinger, a prominent American constitutional law scholar and former acting U.S. Solicitor General.
  • C. Schultheiss
    Schultheiss is a German surname historically derived from a medieval administrative title for a local official or magistrate.
  • D. Tillman
    Tillman is a surname most famously associated with Pat Tillman, the former NFL player who left his football career to enlist in the U.S. Army and was killed in Afghanistan.
  • E. Henry Madsen
    Henry Madsen is a sadistic serial killer and arsonist who serves as one of the primary antagonists in the British crime drama series "Luther."
  • 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: Rittenhouse
Triple: [David Rittenhouse, familyName, Rittenhouse]
Generated description
Rittenhouse is a surname most notably associated with David Rittenhouse, an 18th-century American astronomer, inventor, and statesman.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rittenhouse
Target entity description: Rittenhouse is a surname most notably associated with David Rittenhouse, an 18th-century American astronomer, inventor, and statesman.
  • A. Hauptman
    Hauptman is a surname most notably associated with Herbert A. Hauptman, the Nobel Prize–winning mathematician and crystallographer.
  • B. Dellinger
    Dellinger is a surname most notably associated with Walter Dellinger, a prominent American constitutional law scholar and former acting U.S. Solicitor General.
  • C. Schultheiss
    Schultheiss is a German surname historically derived from a medieval administrative title for a local official or magistrate.
  • D. Tillman
    Tillman is a surname most famously associated with Pat Tillman, the former NFL player who left his football career to enlist in the U.S. Army and was killed in Afghanistan.
  • E. Henry Madsen
    Henry Madsen is a sadistic serial killer and arsonist who serves as one of the primary antagonists in the British crime drama series "Luther."
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e20205bed48190a6930439738da191 completed April 17, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff2adf5848190a1dd58bc76dd4ffd completed May 10, 2026, 2:51 a.m.
NEDg Description generation batch_69fff3b375d48190a958b34c5df5c5f1 completed May 10, 2026, 2:55 a.m.
NED2 Entity disambiguation (via description) batch_69fff447e1248190a3a1386946172429 completed May 10, 2026, 2:58 a.m.
Created at: April 10, 2026, 5 a.m.