Triple

T29898740
Position Surface form Disambiguated ID Type / Status
Subject Mr. Eko E759349 entity
Predicate encountersEntity P84701 FINISHED
Object Smoke Monster
The Smoke Monster is a mysterious, shape-shifting cloud of black smoke that serves as a deadly and supernatural force on the island in the television series "Lost."
 E1889103 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: Smoke Monster | Statement: [Mr. Eko, encountersEntity, Smoke Monster]
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: Smoke Monster
Triple: [Mr. Eko, encountersEntity, Smoke Monster]
Generated description
The Smoke Monster is a mysterious, shape-shifting cloud of black smoke that serves as a deadly and supernatural force on the island in the television series "Lost."
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: encountersEntity
Context triple: [Mr. Eko, encountersEntity, Smoke Monster]
  • A. hasEncounter
    Indicates that one entity experiences or comes into contact with another entity or event, typically in a specific context or situation.
  • B. encountersCharacter chosen
    Indicates that one character comes into contact with or meets another character, typically within a particular situation or context.
  • C. notableEncounterWith
    Indicates that an entity has had a significant or noteworthy meeting, interaction, or confrontation with another entity.
  • D. encountersDoctor
    Indicates that one entity comes into contact with or meets a doctor in some context or situation.
  • E. encounterFrequency
    Indicates how often two entities come into contact or interact with each other over a given period.
  • 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_69f2245f1cf88190978c70d1a1d2cb73 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f6772d534c8190be386d44e7f60a4e completed May 2, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a26f1e6834081908da2a388f3353b50 completed June 8, 2026, 4:46 p.m.
NEDg Description generation batch_6a26f2f7ea4481909ac9cc6c61c08bdf completed June 8, 2026, 4:51 p.m.
NED2 Entity disambiguation (via description) batch_6a26f458338c81908f14397f08d2b56b completed June 8, 2026, 4:56 p.m.
PD Predicate disambiguation batch_69f66ec8298c8190b41fe9d182c05676 completed May 2, 2026, 9:38 p.m.
Created at: April 29, 2026, 6:05 p.m.