Triple

T38333976
Position Surface form Disambiguated ID Type / Status
Subject Mark Henry E1037900 entity
Predicate memberOf P10 FINISHED
Object The World’s Strongest Tag Team
The World’s Strongest Tag Team was a professional wrestling tag team in WWE featuring powerhouse competitors known for their exceptional strength and dominance in the ring.
 E2265594 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 World’s Strongest Tag Team | Statement: [Mark Henry, memberOf, The World’s Strongest Tag Team]
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 World’s Strongest Tag Team
Triple: [Mark Henry, memberOf, The World’s Strongest Tag Team]
Generated description
The World’s Strongest Tag Team was a professional wrestling tag team in WWE featuring powerhouse competitors known for their exceptional strength and dominance in the ring.

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_69f76e20d65c81909619ac0dd85c56f0 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fcc6ba09388190a230366c98fa35da completed May 7, 2026, 5:07 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41a7eb01bc8190a79a67db5c0888ba completed June 28, 2026, 11:02 p.m.
NEDg Description generation batch_6a41a8d10de48190985ea9727bc5160a completed June 28, 2026, 11:05 p.m.
NED2 Entity disambiguation (via description) batch_6a41a92cd3a48190bb9a9d9a25c6d3c2 completed June 28, 2026, 11:07 p.m.
Created at: May 3, 2026, 4:30 p.m.