Triple

T15835719
Position Surface form Disambiguated ID Type / Status
Subject Steven Rattner E383978 entity
Predicate familyName P18 FINISHED
Object Rattner
Rattner is a surname most notably associated with American financier and former Obama administration auto industry adviser Steven Rattner.
 E1180488 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: Rattner | Statement: [Steven Rattner, familyName, Rattner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rattner
Context triple: [Steven Rattner, familyName, Rattner]
  • A. Ratner
    Ratner is a surname most prominently associated with American film director and producer Brett Ratner, known for commercial Hollywood hits like the Rush Hour series.
  • B. Ritner
    Ritner is a surname most notably associated with Joseph Ritner, an American politician who served as governor of Pennsylvania in the 19th century.
  • C. Nortrup
    Nortrup is a small municipality in Lower Saxony, Germany, situated within the Artland region.
  • D. Ratti
    Ratti is the Italian surname of Achille Ratti, who became Pope Pius XI, head of the Catholic Church from 1922 to 1939.
  • E. Rohrer
    Rohrer is a surname most notably associated with Swiss physicist Heinrich Rohrer, co-inventor of the scanning tunneling microscope and Nobel Prize laureate.
  • 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: Rattner
Triple: [Steven Rattner, familyName, Rattner]
Generated description
Rattner is a surname most notably associated with American financier and former Obama administration auto industry adviser Steven Rattner.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rattner
Target entity description: Rattner is a surname most notably associated with American financier and former Obama administration auto industry adviser Steven Rattner.
  • A. Ratner
    Ratner is a surname most prominently associated with American film director and producer Brett Ratner, known for commercial Hollywood hits like the Rush Hour series.
  • B. Ritner
    Ritner is a surname most notably associated with Joseph Ritner, an American politician who served as governor of Pennsylvania in the 19th century.
  • C. Nortrup
    Nortrup is a small municipality in Lower Saxony, Germany, situated within the Artland region.
  • D. Ratti
    Ratti is the Italian surname of Achille Ratti, who became Pope Pius XI, head of the Catholic Church from 1922 to 1939.
  • E. Rohrer
    Rohrer is a surname most notably associated with Swiss physicist Heinrich Rohrer, co-inventor of the scanning tunneling microscope and Nobel Prize laureate.
  • 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e142e0e1cc8190851b30b03cf9c9b8 completed April 16, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa137be2c81909c8f04b5cc1a5b21 completed May 9, 2026, 9:03 p.m.
NEDg Description generation batch_69ffa527af048190b1f87d85e50bf254 completed May 9, 2026, 9:20 p.m.
NED2 Entity disambiguation (via description) batch_69ffa5df00e481909e203e78940395ed completed May 9, 2026, 9:23 p.m.
Created at: April 10, 2026, 4:49 a.m.