Triple

T32606369
Position Surface form Disambiguated ID Type / Status
Subject Saratoga (1937 film) E833531 entity
Predicate leadCharacterPlayedByJeanHarlow P175011 FINISHED
Object Carol Clayton
Carol Clayton is the central female protagonist portrayed by Jean Harlow in the 1937 romantic comedy film "Saratoga."
 E2017958 NE FINISHED

How this triple was built (3 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: Carol Clayton | Statement: [Saratoga (1937 film), leadCharacterPlayedByJeanHarlow, Carol Clayton]
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: Carol Clayton
Triple: [Saratoga (1937 film), leadCharacterPlayedByJeanHarlow, Carol Clayton]
Generated description
Carol Clayton is the central female protagonist portrayed by Jean Harlow in the 1937 romantic comedy film "Saratoga."
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: leadCharacterPlayedByJeanHarlow
Context triple: [Saratoga (1937 film), leadCharacterPlayedByJeanHarlow, Carol Clayton]
  • A. leadCharacterPlayedByClarkGable
    Indicates that the work’s lead character is portrayed by the actor Clark Gable.
  • B. scenesCompletedByJeanHarlow
    Indicates that the specified scenes are ones that were completed by Jean Harlow.
  • C. barbaraStanwyckRole
    Indicates that the subject is a role or character portrayed by Barbara Stanwyck.
  • D. leadActressCharacterName
    Indicates the name of the character portrayed by the lead actress in a given work.
  • E. hasMarleneDietrichRoleType
    Indicates that an entity has a specific type or category of role associated with Marlene Dietrich.
  • F. None of above. chosen

Provenance (7 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_69f3492bfa648190b6ae472074634e29 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6cd9bae8c8190b528641499162a75 completed May 3, 2026, 4:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a349ea854c081909e31e035d12f97db completed June 19, 2026, 1:43 a.m.
NEDg Description generation batch_6a349f1cf3288190ad3a15ae7016c12a completed June 19, 2026, 1:45 a.m.
NED2 Entity disambiguation (via description) batch_6a349f54fad881908d4fb08bf4d88008 completed June 19, 2026, 1:45 a.m.
PD Predicate disambiguation batch_69f6cc1470808190b70cdfd7a6395670 completed May 3, 2026, 4:16 a.m.
PDg Predicate description generation batch_69f6cd119cac8190a0b3ebe8b9c742c2 completed May 3, 2026, 4:20 a.m.
Created at: May 1, 2026, 1:05 a.m.