Triple

T8516232
Position Surface form Disambiguated ID Type / Status
Subject Ken Seng E201578 entity
Predicate notableWork P4 FINISHED
Object Obsessed
Obsessed is a work by creator Ken Seng, recognized as one of his notable contributions to his field.
 E738879 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: Obsessed | Statement: [Ken Seng, notableWork, Obsessed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Obsessed
Context triple: [Ken Seng, notableWork, Obsessed]
  • A. Obsessed
    Obsessed is a 2009 psychological thriller film starring Idris Elba, Beyoncé, and Ali Larter about a successful executive whose life unravels when a temp employee becomes dangerously fixated on him.
  • B. Obsessed
    "Obsessed" is a 2009 R&B/pop single by Mariah Carey, known for its confrontational lyrics and catchy hook, widely interpreted as a response to rapper Eminem.
  • C. Obsessed
    Obsessed is a social media account or online persona that is followed by the user Cinco.
  • D. Obsessed
    "Obsessed" is a country-pop studio album by American duo Dan + Shay, featuring romantic, harmony-rich tracks that helped solidify their mainstream success.
  • E. Obsessed
    "Obsessed" is a crime thriller novel in the Michael Bennett series by James Patterson, following the NYPD detective as he tackles a particularly personal and dangerous case.
  • 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: Obsessed
Triple: [Ken Seng, notableWork, Obsessed]
Generated description
Obsessed is a work by creator Ken Seng, recognized as one of his notable contributions to his field.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Obsessed
Target entity description: Obsessed is a work by creator Ken Seng, recognized as one of his notable contributions to his field.
  • A. Obsessed
    Obsessed is a 2009 psychological thriller film starring Idris Elba, Beyoncé, and Ali Larter about a successful executive whose life unravels when a temp employee becomes dangerously fixated on him.
  • B. Obsessed
    "Obsessed" is a 2009 R&B/pop single by Mariah Carey, known for its confrontational lyrics and catchy hook, widely interpreted as a response to rapper Eminem.
  • C. Obsessed
    Obsessed is a social media account or online persona that is followed by the user Cinco.
  • D. Obsessed
    "Obsessed" is a country-pop studio album by American duo Dan + Shay, featuring romantic, harmony-rich tracks that helped solidify their mainstream success.
  • E. Obsessed
    "Obsessed" is a crime thriller novel in the Michael Bennett series by James Patterson, following the NYPD detective as he tackles a particularly personal and dangerous case.
  • 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_69ca8321bb44819081b74df0b710276d completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe60f37b0819082ae14e539f57b56 completed March 31, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4e5dbb3c81909157e6b04a4956af completed April 2, 2026, 11:09 a.m.
NEDg Description generation batch_69ce4ffac8a08190bc2131c0d260ca39 completed April 2, 2026, 11:16 a.m.
NED2 Entity disambiguation (via description) batch_69ce5117c7508190b74821d029d226c6 completed April 2, 2026, 11:20 a.m.
Created at: March 30, 2026, 6:15 p.m.