Triple

T12664537
Position Surface form Disambiguated ID Type / Status
Subject Paul Lieberstein E302512 entity
Predicate notableWork P4 FINISHED
Object Ghosted
Ghosted is an American supernatural sitcom television series that blends comedy with paranormal investigation themes.
 E996482 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: Ghosted | Statement: [Paul Lieberstein, notableWork, Ghosted]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ghosted
Context triple: [Paul Lieberstein, notableWork, Ghosted]
  • A. Gone
    "Gone" is a suspense thriller novel by bestselling American crime writer Lisa Gardner, featuring a high-stakes kidnapping investigation and psychological tension.
  • B. Gone
    "Gone" is a reflective hip-hop track by Kanye West featuring Consequence and Cam'ron, known for its soulful Otis Redding sample and intricate storytelling.
  • C. Gone
    "Gone" is a popular R&B-influenced ballad by American boy band *NSYNC, known for its emotional lyrics and Justin Timberlake's prominent lead vocals.
  • D. Gone
    "Gone" is a U2 song from their 1997 album "Pop," known for its introspective lyrics and powerful live performances.
  • E. Gone
    "Gone" is a country music album by American singer-songwriter Dwight Yoakam that blends traditional honky-tonk with more contemporary influences.
  • 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: Ghosted
Triple: [Paul Lieberstein, notableWork, Ghosted]
Generated description
Ghosted is an American supernatural sitcom television series that blends comedy with paranormal investigation themes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ghosted
Target entity description: Ghosted is an American supernatural sitcom television series that blends comedy with paranormal investigation themes.
  • A. Gone
    "Gone" is a suspense thriller novel by bestselling American crime writer Lisa Gardner, featuring a high-stakes kidnapping investigation and psychological tension.
  • B. Gone
    "Gone" is a reflective hip-hop track by Kanye West featuring Consequence and Cam'ron, known for its soulful Otis Redding sample and intricate storytelling.
  • C. Gone
    "Gone" is a popular R&B-influenced ballad by American boy band *NSYNC, known for its emotional lyrics and Justin Timberlake's prominent lead vocals.
  • D. Gone
    "Gone" is a U2 song from their 1997 album "Pop," known for its introspective lyrics and powerful live performances.
  • E. Gone
    "Gone" is a country music album by American singer-songwriter Dwight Yoakam that blends traditional honky-tonk with more contemporary influences.
  • 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9617e030881908444743b8a7e0d75 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6688a19148190b8d252d3706d2b05 completed May 2, 2026, 9:11 p.m.
NEDg Description generation batch_69f669f69fe4819097dfc63780e8587e completed May 2, 2026, 9:17 p.m.
NED2 Entity disambiguation (via description) batch_69f66b619c88819098acbfb60fac9921 completed May 2, 2026, 9:23 p.m.
Created at: April 9, 2026, 5:19 p.m.