Triple

T29139483
Position Surface form Disambiguated ID Type / Status
Subject Installation 04 E738586 entity
Predicate franchise P1500 FINISHED
Object Halo
Halo is a popular science fiction video game franchise created by Bungie and continued by 343 Industries, centered on humanity’s war with alien forces and featuring the super-soldier Master Chief.
E1318598 NE 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: Halo | Statement: [Installation 04, franchise, Halo]
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: Halo
Triple: [Installation 04, franchise, Halo]
Generated description
Halo is a popular science fiction video game franchise created by Bungie and continued by 343 Industries, centered on humanity’s war with alien forces and featuring the super-soldier Master Chief.

Provenance (5 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_69f07cb3adb48190a9e0e169cd026634 completed April 28, 2026, 9:24 a.m.
NER Named-entity recognition batch_69f6626dee588190ae10942e2a9bff64 completed May 2, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_6a27641c05a4819091086247aa913cd8 completed June 9, 2026, 12:53 a.m.
NEDg Description generation batch_6a276541b1e08190bc9b9cb55f3743c7 completed June 9, 2026, 12:58 a.m.
NED2 Entity disambiguation (via description) batch_6a27660e070081909f126b4b0e6cb63b completed June 9, 2026, 1:02 a.m.
Created at: April 28, 2026, 11:35 a.m.