Triple

T35385629
Position Surface form Disambiguated ID Type / Status
Subject Tyler Ledford E1022784 entity
Predicate invitesToRestaurant P96638 FINISHED
Object Margot Mills
Margot Mills is a central character in the 2022 horror film "The Menu," portrayed as an unexpected and skeptical guest at an exclusive, sinister fine-dining experience.
 E1047552 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: Margot Mills | Statement: [Tyler Ledford, invitesToRestaurant, Margot Mills]
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: Margot Mills
Triple: [Tyler Ledford, invitesToRestaurant, Margot Mills]
Generated description
Margot Mills is a central character in the 2022 horror film "The Menu," portrayed as an unexpected and skeptical guest at an exclusive, sinister fine-dining experience.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: invitesToRestaurant
Context triple: [Tyler Ledford, invitesToRestaurant, Margot Mills]
  • A. invitesToLocation chosen
    Indicates that one entity extends an invitation to another entity to go to or be present at a specific location.
  • B. invitesParticipationOf
    Indicates that one entity actively requests or encourages another entity to take part in an activity, event, or process.
  • C. invitationBy
    Indicates that one entity is the inviter or originator of an invitation extended to another entity.
  • D. invitesToBunker
    Indicates that one entity extends an invitation to another entity to come to or enter a bunker.
  • E. invitesResponseOf
    Indicates that one entity’s action, message, or state prompts, elicits, or calls for a response from another entity.
  • F. None of above.

Provenance (6 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_69f76df28d8c819089f2c5799fe7d079 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f794f50080819095ff3c2cefc74fea completed May 3, 2026, 6:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3836a92de8819093bba73be2feefce completed June 21, 2026, 7:08 p.m.
NEDg Description generation batch_6a3839a31f3c8190a03ad92711431d26 completed June 21, 2026, 7:21 p.m.
NED2 Entity disambiguation (via description) batch_6a3839f1488c819084c0d037eb825ad7 completed June 21, 2026, 7:22 p.m.
PD Predicate disambiguation batch_69f7910770108190bdd39ddb5d304f54 completed May 3, 2026, 6:16 p.m.
Created at: May 3, 2026, 4:03 p.m.