Triple

T15907507
Position Surface form Disambiguated ID Type / Status
Subject ER season 6 E385758 entity
Predicate featuresCharacter P626 FINISHED
Object Robert Romano
Robert Romano is a brilliant yet abrasive and often antagonistic surgeon and hospital administrator on the medical drama series ER.
E1183653 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: Robert Romano | Statement: [ER season 6, featuresCharacter, Robert Romano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Romano
Context triple: [ER season 6, featuresCharacter, Robert Romano]
  • A. Richard Romano
    Richard Romano is the brother of comedian and actor Ray Romano and has occasionally appeared in projects related to his sibling's work.
  • B. Lou Romano
    Lou Romano is an American animator, art director, and voice actor best known for his work with Pixar, including voicing the character Alfredo Linguini in the film "Ratatouille."
  • C. Frank Romano
    Frank Romano is an author best known for writing the book "Just a Dream."
  • D. Frank Romano
    Frank Romano is a music producer and songwriter known for his work on contemporary R&B and pop tracks, including the song "Just a Dream."
  • E. Cary Coglianese
    Cary Coglianese is an American legal scholar known for his expertise in administrative law, regulation, and regulatory policy, and for founding the Penn Program on Regulation at the University of Pennsylvania.
  • 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: Robert Romano
Triple: [ER season 6, featuresCharacter, Robert Romano]
Generated description
Robert Romano is a brilliant yet abrasive and often antagonistic surgeon and hospital administrator on the medical drama series ER.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Robert Romano
Target entity description: Robert Romano is a brilliant yet abrasive and often antagonistic surgeon and hospital administrator on the medical drama series ER.
  • A. Richard Romano
    Richard Romano is the brother of comedian and actor Ray Romano and has occasionally appeared in projects related to his sibling's work.
  • B. Lou Romano
    Lou Romano is an American animator, art director, and voice actor best known for his work with Pixar, including voicing the character Alfredo Linguini in the film "Ratatouille."
  • C. Frank Romano
    Frank Romano is an author best known for writing the book "Just a Dream."
  • D. Frank Romano
    Frank Romano is a music producer and songwriter known for his work on contemporary R&B and pop tracks, including the song "Just a Dream."
  • E. Cary Coglianese
    Cary Coglianese is an American legal scholar known for his expertise in administrative law, regulation, and regulatory policy, and for founding the Penn Program on Regulation at the University of Pennsylvania.
  • 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1565c11bc819091b1fd85901a832d completed April 16, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb055307081908a13c98a0e16780c completed May 9, 2026, 10:08 p.m.
NEDg Description generation batch_69ffb110a5b88190904f763057e8eb1e completed May 9, 2026, 10:11 p.m.
NED2 Entity disambiguation (via description) batch_69ffb1a5e9b88190b790c81b9500c2ac completed May 9, 2026, 10:13 p.m.
Created at: April 10, 2026, 4:52 a.m.