Triple

T10647642
Position Surface form Disambiguated ID Type / Status
Subject What's My Line? E250876 entity
Predicate panelGoal P95145 FINISHED
Object identify contestant's line of work or identity before losing all cards LITERAL FINISHED

How this triple was built (2 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: identify contestant's line of work or identity before losing all cards | Statement: [What's My Line?, panelGoal, identify contestant's line of work or identity before losing all cards]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: panelGoal
Context triple: [What's My Line?, panelGoal, identify contestant's line of work or identity before losing all cards]
  • A. goalType
    Indicates the specific category or nature of a goal associated with an entity or action.
  • B. statedAsGoalFor
    Indicates that something has been explicitly declared or identified as a goal for a particular entity or context.
  • C. hasPlanningGoal
    Indicates that an entity is associated with, or directed toward achieving, a specific planning objective or target state.
  • D. machineGoal
    Indicates that a machine or automated system has a specific objective, target state, or outcome it is intended or programmed to achieve.
  • E. laterGoal
    Indicates that one goal occurs or is intended to be achieved after another goal in time.
  • F. None of above. chosen

Provenance (4 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_69d6aa5a4c4881908f39be6efe5981e5 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfe29b8081908eb13637e0475ba1 completed April 8, 2026, 11:08 p.m.
PD Predicate disambiguation batch_69d6dd83b114819098e84dc658e82d7e completed April 8, 2026, 10:58 p.m.
PDg Predicate description generation batch_69d6df463ea8819091d6683e476b4f21 completed April 8, 2026, 11:05 p.m.
Created at: April 8, 2026, 9:05 p.m.