Triple

T29157297
Position Surface form Disambiguated ID Type / Status
Subject Pacific Tigers E739083 entity
Predicate notableAlumnusAthlete P9730 FINISHED
Object Eddie LeBaron
Eddie LeBaron was an American professional football quarterback, notably for the Washington Redskins and Dallas Cowboys, who became one of the NFL’s early star passers despite his small stature.
 E1880568 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: Eddie LeBaron | Statement: [Pacific Tigers, notableAlumnusAthlete, Eddie LeBaron]
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: Eddie LeBaron
Triple: [Pacific Tigers, notableAlumnusAthlete, Eddie LeBaron]
Generated description
Eddie LeBaron was an American professional football quarterback, notably for the Washington Redskins and Dallas Cowboys, who became one of the NFL’s early star passers despite his small stature.

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_69f07cb528fc8190a556b73990c347c8 completed April 28, 2026, 9:24 a.m.
NER Named-entity recognition batch_69f662aa69d08190b514c85e1c12ed79 completed May 2, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a26aa4f83388190bac15a8220b67f7a completed June 8, 2026, 11:41 a.m.
NEDg Description generation batch_6a26b081c45c819081eae5fb55792957 completed June 8, 2026, 12:07 p.m.
NED2 Entity disambiguation (via description) batch_6a26b185e30481909052ca83416a131b completed June 8, 2026, 12:11 p.m.
Created at: April 28, 2026, 11:45 a.m.