Triple

T32130864
Position Surface form Disambiguated ID Type / Status
Subject Welcome to the Jungle E820637 entity
Predicate hasRobHuebelRole P194477 FINISHED
Object Phil
Phil is a character portrayed by comedian and actor Rob Huebel in the film "Welcome to the Jungle."
 E1993164 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: Phil | Statement: [Welcome to the Jungle, hasRobHuebelRole, Phil]
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: Phil
Triple: [Welcome to the Jungle, hasRobHuebelRole, Phil]
Generated description
Phil is a character portrayed by comedian and actor Rob Huebel in the film "Welcome to the Jungle."
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasRobHuebelRole
Context triple: [Welcome to the Jungle, hasRobHuebelRole, Phil]
  • A. hasPlayingRole
    Indicates that an entity participates in an activity, event, or performance in a specific playing role or capacity.
  • B. hasMerleOberonRole
    Indicates that an entity has a role played by or associated with Merle Oberon in a work (such as a film, TV show, or stage production).
  • C. hasBelovedRole
    Indicates that an entity holds a role or position that is deeply cherished or loved by another entity.
  • D. hasJudgesRole
    Indicates that an entity serves in the capacity or role of a judge within a specified context or system.
  • E. hasNotableRoleIn
    Indicates that an entity holds a significant or noteworthy role or function within another entity, event, work, or context.
  • 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_69f349039e0c819091c7a7d322e3f46d completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69fd76d1e5208190a6f26651492d1e3c completed May 8, 2026, 5:38 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2f01371bd88190a447bdea6f290210 completed June 14, 2026, 7:29 p.m.
NEDg Description generation batch_6a2f0210c6dc8190953859020baa3729 completed June 14, 2026, 7:33 p.m.
NED2 Entity disambiguation (via description) batch_6a2f02d3ff748190adb82f02b7629721 completed June 14, 2026, 7:36 p.m.
PD Predicate disambiguation batch_69fd702a226c81908edfda00f4be4130 completed May 8, 2026, 5:10 a.m.
PDg Predicate description generation batch_69fd76d0d7608190b350336d6c18182d completed May 8, 2026, 5:38 a.m.
Created at: May 1, 2026, 12:29 a.m.