Triple

T6513132
Position Surface form Disambiguated ID Type / Status
Subject Zooey Deschanel E148184 entity
Predicate notableWork P4 FINISHED
Object Yes Man
Yes Man is a 2008 comedy film starring Jim Carrey as a man who challenges himself to say "yes" to everything, with Zooey Deschanel in a prominent supporting role.
E600865 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: Yes Man | Statement: [Zooey Deschanel, notableWork, Yes Man]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yes Man
Context triple: [Zooey Deschanel, notableWork, Yes Man]
  • A. Oh Yes
    "Oh Yes" is a song featured on Whitney Houston’s 1998 R&B/pop album *My Love Is Your Love*.
  • B. I'm the Man
    "I'm the Man" is the 1979 new wave and punk-influenced second studio album by English musician Joe Jackson, featuring his hit single "It's Different for Girls."
  • C. Call the Man
    "Call the Man" is a power ballad by Celine Dion, featured on her 1996 album *Falling into You*.
  • D. My Man
    "My Man" is a classic torch song most famously performed by Barbra Streisand in the 1968 musical film *Funny Girl*.
  • E. Yes Please
    "Yes Please" is a humorous and candid memoir by comedian and actress Amy Poehler, blending personal stories, life advice, and reflections on her career in comedy and television.
  • 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: Yes Man
Triple: [Zooey Deschanel, notableWork, Yes Man]
Generated description
Yes Man is a 2008 comedy film starring Jim Carrey as a man who challenges himself to say "yes" to everything, with Zooey Deschanel in a prominent supporting role.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yes Man
Target entity description: Yes Man is a 2008 comedy film starring Jim Carrey as a man who challenges himself to say "yes" to everything, with Zooey Deschanel in a prominent supporting role.
  • A. Oh Yes
    "Oh Yes" is a song featured on Whitney Houston’s 1998 R&B/pop album *My Love Is Your Love*.
  • B. I'm the Man
    "I'm the Man" is the 1979 new wave and punk-influenced second studio album by English musician Joe Jackson, featuring his hit single "It's Different for Girls."
  • C. Call the Man
    "Call the Man" is a power ballad by Celine Dion, featured on her 1996 album *Falling into You*.
  • D. My Man
    "My Man" is a classic torch song most famously performed by Barbra Streisand in the 1968 musical film *Funny Girl*.
  • E. Yes Please
    "Yes Please" is a humorous and candid memoir by comedian and actress Amy Poehler, blending personal stories, life advice, and reflections on her career in comedy and television.
  • 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_69c687e68e748190baceb9298f32d3ed completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c69f3db330819092503af4fb0649ea completed March 27, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb69ca0c8190954dbe6c627981f3 completed March 27, 2026, 6:24 p.m.
NEDg Description generation batch_69c6cc96edd08190b0c0f1b49dd64160 completed March 27, 2026, 6:29 p.m.
NED2 Entity disambiguation (via description) batch_69c6cd8d15ec8190be5a8c5e3f201139 completed March 27, 2026, 6:33 p.m.
Created at: March 27, 2026, 1:44 p.m.