Triple

T8155724
Position Surface form Disambiguated ID Type / Status
Subject Nine Months E190444 entity
Predicate character P662 FINISHED
Object Sean Fletcher
Sean Fletcher is a fictional character from the 1995 romantic comedy film "Nine Months," which centers on the upheaval caused by an unexpected pregnancy.
E717016 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: Sean Fletcher | Statement: [Nine Months, character, Sean Fletcher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sean Fletcher
Context triple: [Nine Months, character, Sean Fletcher]
  • A. Nick Fletcher
    Nick Fletcher is a cinematographer best known for his work on the animated film "Bee Movie."
  • B. Nick Fletcher
    Nick Fletcher is a film editor best known for his work on animated features, including serving as an editor on the movie "Bee Movie."
  • C. Michael Fottrell
    Michael Fottrell is a film producer best known for his work on major action franchises, including entries in the Fast & Furious series.
  • D. Brian Fawcett
    Brian Fawcett was the son of British explorer Percy Fawcett, known mainly for his connection to his father's legendary Amazon expeditions and disappearance.
  • E. Phil Foster
    Phil Foster was an American actor and comedian best known for playing Laverne’s father, Frank DeFazio, on the sitcom "Laverne & Shirley."
  • 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: Sean Fletcher
Triple: [Nine Months, character, Sean Fletcher]
Generated description
Sean Fletcher is a fictional character from the 1995 romantic comedy film "Nine Months," which centers on the upheaval caused by an unexpected pregnancy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sean Fletcher
Target entity description: Sean Fletcher is a fictional character from the 1995 romantic comedy film "Nine Months," which centers on the upheaval caused by an unexpected pregnancy.
  • A. Nick Fletcher
    Nick Fletcher is a film editor best known for his work on animated features, including serving as an editor on the movie "Bee Movie."
  • B. Nick Fletcher
    Nick Fletcher is a cinematographer best known for his work on the animated film "Bee Movie."
  • C. Michael Fottrell
    Michael Fottrell is a film producer best known for his work on major action franchises, including entries in the Fast & Furious series.
  • D. Brian Fawcett
    Brian Fawcett was the son of British explorer Percy Fawcett, known mainly for his connection to his father's legendary Amazon expeditions and disappearance.
  • E. Phil Foster
    Phil Foster was an American actor and comedian best known for playing Laverne’s father, Frank DeFazio, on the sitcom "Laverne & Shirley."
  • 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_69ca82bfeb6481909d07b91b5cf69f59 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb44d725b88190b77dc7537c1fa95d completed March 31, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbf0f68c88190be9aab03de6bf4a0 completed April 1, 2026, 6:45 a.m.
NEDg Description generation batch_69ccc311d4e8819080f4aeef8ee7dc3b completed April 1, 2026, 7:02 a.m.
NED2 Entity disambiguation (via description) batch_69ccd81bebf8819081b3c4efa5a9ef93 completed April 1, 2026, 8:32 a.m.
Created at: March 30, 2026, 5:37 p.m.