Triple

T36000072
Position Surface form Disambiguated ID Type / Status
Subject The Road Warriors E1041103 entity
Predicate member P10 FINISHED
Object Road Warrior Hawk
Road Warrior Hawk was a professional wrestler best known as one half of the legendary tag team The Road Warriors (also known as the Legion of Doom), famed for their intimidating look and dominant in-ring style.
E2164985 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: Road Warrior Hawk | Statement: [The Road Warriors, member, Road Warrior Hawk]
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: Road Warrior Hawk
Triple: [The Road Warriors, member, Road Warrior Hawk]
Generated description
Road Warrior Hawk was a professional wrestler best known as one half of the legendary tag team The Road Warriors (also known as the Legion of Doom), famed for their intimidating look and dominant in-ring style.

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_69f76e2a02208190aedd1f9025a8b300 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7ac82496881909a5ecffcae8c943c completed May 3, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38bff1e6fc8190adc304a8731c5dc1 completed June 22, 2026, 4:54 a.m.
NEDg Description generation batch_6a38c0a8a0908190a845f3f6e7040e1e completed June 22, 2026, 4:57 a.m.
NED2 Entity disambiguation (via description) batch_6a38c164f0e88190bef255d462f21732 completed June 22, 2026, 5 a.m.
Created at: May 3, 2026, 4:07 p.m.