Triple

T23670316
Position Surface form Disambiguated ID Type / Status
Subject Tommy Loughran E584710 entity
Predicate facedOpponent P18497 FINISHED
Object Young Stribling
Young Stribling was an American heavyweight and light heavyweight boxer of the 1920s and early 1930s, known for his prolific fight record and technical skill in the ring.
E1592966 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: Young Stribling | Statement: [Tommy Loughran, facedOpponent, Young Stribling]
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: Young Stribling
Triple: [Tommy Loughran, facedOpponent, Young Stribling]
Generated description
Young Stribling was an American heavyweight and light heavyweight boxer of the 1920s and early 1930s, known for his prolific fight record and technical skill 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_69e24901421881908c17a5293bdd4a8e completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b40ec52c8190b38a77cc3973d112 completed April 29, 2026, 7:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f45b86a4081909c11ddebb2081826 completed May 21, 2026, 5:49 p.m.
NEDg Description generation batch_6a0f46fc87888190ac1533fc3c67780f completed May 21, 2026, 5:55 p.m.
NED2 Entity disambiguation (via description) batch_6a0f47c4597c81909425a8ac557a77af completed May 21, 2026, 5:58 p.m.
Created at: April 17, 2026, 6:50 p.m.