Triple

T9817068
Position Surface form Disambiguated ID Type / Status
Subject Eddie Cibrian E238434 entity
Predicate notableWork P4 FINISHED
Object Take Two
"Take Two" is an American comedy-drama television series about a former actress who teams up with a private investigator to solve crimes.
 E823428 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: Take Two | Statement: [Eddie Cibrian, notableWork, Take Two]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Take Two
Context triple: [Eddie Cibrian, notableWork, Take Two]
  • A. The Two of Us
    The Two of Us is the debut EP by R&B duo Chloe x Halle, showcasing their soulful harmonies and genre-blending, self-produced sound.
  • B. The Two of Us
    The Two of Us is a collaborative album by American vocalists Marilyn McCoo and Billy Davis Jr. that showcases their smooth pop-soul duets and harmonies.
  • C. One & Two
    One & Two is a 2015 American independent science fiction drama film that follows two siblings with supernatural abilities struggling against their strict, isolated upbringing.
  • D. Two Can Win
    "Two Can Win" is a soulful, sample-driven hip-hop track by J Dilla from his acclaimed album "Donuts."
  • E. Want Two
    Want Two is a 2004 studio album by singer-songwriter Rufus Wainwright, noted for its baroque pop style and lush, orchestral arrangements.
  • 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: Take Two
Triple: [Eddie Cibrian, notableWork, Take Two]
Generated description
"Take Two" is an American comedy-drama television series about a former actress who teams up with a private investigator to solve crimes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Take Two
Target entity description: "Take Two" is an American comedy-drama television series about a former actress who teams up with a private investigator to solve crimes.
  • A. The Two of Us
    The Two of Us is the debut EP by R&B duo Chloe x Halle, showcasing their soulful harmonies and genre-blending, self-produced sound.
  • B. The Two of Us
    The Two of Us is a collaborative album by American vocalists Marilyn McCoo and Billy Davis Jr. that showcases their smooth pop-soul duets and harmonies.
  • C. One & Two
    One & Two is a 2015 American independent science fiction drama film that follows two siblings with supernatural abilities struggling against their strict, isolated upbringing.
  • D. Two Can Win
    "Two Can Win" is a soulful, sample-driven hip-hop track by J Dilla from his acclaimed album "Donuts."
  • E. Want Two
    Want Two is a 2004 studio album by singer-songwriter Rufus Wainwright, noted for its baroque pop style and lush, orchestral arrangements.
  • 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_69ca84dfde1481909f47c286d715f892 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb2f4a1548190a5afc5ee0d7da392 completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc70d1188190820a49766699b94a completed April 5, 2026, 2:44 a.m.
NEDg Description generation batch_69d1cf9669308190a58e58b86e652801 completed April 5, 2026, 2:57 a.m.
NED2 Entity disambiguation (via description) batch_69d1d0034dc081908182e3f873a2c584 completed April 5, 2026, 2:59 a.m.
Created at: March 30, 2026, 8:30 p.m.