Triple

T27033744
Position Surface form Disambiguated ID Type / Status
Subject Henry (The Walking Dead) E680994 entity
Predicate affiliation P10 FINISHED
Object The Kingdom
The Kingdom is a fortified survivor community in The Walking Dead universe, led by King Ezekiel and known for its medieval-themed culture and alliance with other groups against common threats.
E1555972 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: The Kingdom | Statement: [Henry (The Walking Dead), affiliation, The Kingdom]
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: The Kingdom
Triple: [Henry (The Walking Dead), affiliation, The Kingdom]
Generated description
The Kingdom is a fortified survivor community in The Walking Dead universe, led by King Ezekiel and known for its medieval-themed culture and alliance with other groups against common threats.

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_69eeeb5566f08190813daf896fa3da04 completed April 27, 2026, 4:51 a.m.
NER Named-entity recognition batch_69f6223870308190a016b76902bcf6d4 completed May 2, 2026, 4:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12b21cac388190a1e3eb92a2957a3e completed May 24, 2026, 8:09 a.m.
NEDg Description generation batch_6a12b365f1fc81909dd44f94d75924e2 completed May 24, 2026, 8:14 a.m.
NED2 Entity disambiguation (via description) batch_6a12b42bd380819087489bdeb2dbfab7 completed May 24, 2026, 8:17 a.m.
Created at: April 27, 2026, 7:15 a.m.