Triple

T11793930
Position Surface form Disambiguated ID Type / Status
Subject GMA Films E280456 entity
Predicate notableWork P4 FINISHED
Object Meant to Beh
"Meant to Beh" is a Filipino family comedy film produced by GMA Films and known for its lighthearted take on modern family relationships.
 E946972 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: Meant to Beh | Statement: [GMA Films, notableWork, Meant to Beh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Meant to Beh
Context triple: [GMA Films, notableWork, Meant to Beh]
  • A. Mean to Me
    "Mean to Me" is a popular 1929 jazz and pop standard that has been widely recorded by vocalists and instrumentalists since its debut.
  • B. Rather Be
    "Rather Be" is a 2014 hit single by British electronic group Clean Bandit featuring Jess Glynne, known for its blend of classical-inspired strings with dance-pop production.
  • C. Meantime
    Meantime is a 1983 British television film directed by Mike Leigh that portrays the bleak lives of a working-class family in Thatcher-era London.
  • D. Meantime
    Meantime is Helmet’s influential 1992 heavy metal album known for its precise, riff-driven sound and impact on alternative and post-hardcore music.
  • E. Good to Be Me
    "Good to Be Me" is a feel-good country-rock song by Uncle Kracker that celebrates self-acceptance and laid-back living.
  • 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: Meant to Beh
Triple: [GMA Films, notableWork, Meant to Beh]
Generated description
"Meant to Beh" is a Filipino family comedy film produced by GMA Films and known for its lighthearted take on modern family relationships.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Meant to Beh
Target entity description: "Meant to Beh" is a Filipino family comedy film produced by GMA Films and known for its lighthearted take on modern family relationships.
  • A. Mean to Me
    "Mean to Me" is a popular 1929 jazz and pop standard that has been widely recorded by vocalists and instrumentalists since its debut.
  • B. Rather Be
    "Rather Be" is a 2014 hit single by British electronic group Clean Bandit featuring Jess Glynne, known for its blend of classical-inspired strings with dance-pop production.
  • C. Meantime
    Meantime is a 1983 British television film directed by Mike Leigh that portrays the bleak lives of a working-class family in Thatcher-era London.
  • D. Meantime
    Meantime is Helmet’s influential 1992 heavy metal album known for its precise, riff-driven sound and impact on alternative and post-hardcore music.
  • E. Good to Be Me
    "Good to Be Me" is a feel-good country-rock song by Uncle Kracker that celebrates self-acceptance and laid-back living.
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5a082d08190a42541396a06ed98 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69f09115c66c8190b0a3e775bdf575c1 completed April 28, 2026, 10:51 a.m.
NEDg Description generation batch_69f0bd40108c8190863a60cf01cc7201 completed April 28, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_69f0ef7e9f388190b33f6c16abadfde9 completed April 28, 2026, 5:33 p.m.
Created at: April 8, 2026, 9:42 p.m.