Triple

T23023235
Position Surface form Disambiguated ID Type / Status
Subject Over Her Dead Body E573225 entity
Predicate character P662 FINISHED
Object Henry
Henry is a central character in the romantic comedy film "Over Her Dead Body," portrayed as a grieving fiancé who struggles to move on after his fiancée's death.
E1568143 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: Henry | Statement: [Over Her Dead Body, character, Henry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry
Context triple: [Over Her Dead Body, character, Henry]
  • A. Henry
    Henry is a comedic, aging actor character in the long-running musical "The Fantasticks," known for his over-the-top theatricality and forgetfulness.
  • B. Henry
    Henry was the personal name of Henry II, Count of Champagne, a prominent 12th-century French nobleman and crusader.
  • C. Henry
    Henry was a French royal prince who served as Archbishop of Reims, a prominent ecclesiastical and political position in medieval France.
  • D. Henry
    Henry is the given name of Henry Fox, 1st Baron Holland, an influential 18th-century British Whig politician and statesman.
  • E. Henry
    Henry was the given name of Henry III of Navarre, who later became King Henry IV of France and is known for initiating the Bourbon dynasty.
  • 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: Henry
Triple: [Over Her Dead Body, character, Henry]
Generated description
Henry is a central character in the romantic comedy film "Over Her Dead Body," portrayed as a grieving fiancé who struggles to move on after his fiancée's death.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Henry
Target entity description: Henry is a central character in the romantic comedy film "Over Her Dead Body," portrayed as a grieving fiancé who struggles to move on after his fiancée's death.
  • A. Henry
    Henry is the protagonist of the romantic comedy film "The First Time," around whom the story’s coming-of-age relationship and emotional growth revolve.
  • B. Henry
    Henry is a character from the film "The Farewell," portrayed as the young grandson navigating family expectations and cultural differences during his grandmother’s terminal illness.
  • C. Henry
    Henry is a fictional character portrayed by American actor Michael Pitt, known for his intense and often complex roles in film and television.
  • D. Henry
    Henry is a comedic, aging actor character in the long-running musical "The Fantasticks," known for his over-the-top theatricality and forgetfulness.
  • E. Henry
    Henry is a character who serves as the narrator in the 1933 film "The Power and the Glory," providing the story’s perspective and framing its events.
  • 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_69e245b821008190b0e09cb02092aae1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f183ea23088190b2f42d9bf01514ac completed April 29, 2026, 4:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c0aceb0c88190a47fe739fd96292b completed May 19, 2026, 7:01 a.m.
NEDg Description generation batch_6a0c0cc0802081909986480d05315422 completed May 19, 2026, 7:09 a.m.
NED2 Entity disambiguation (via description) batch_6a0c0db1ebf88190a3c2f74af6fe3541 completed May 19, 2026, 7:13 a.m.
Created at: April 17, 2026, 3:52 p.m.