Triple

T20290178
Position Surface form Disambiguated ID Type / Status
Subject Lockhart Stadium E509998 entity
Predicate namedAfter P63 FINISHED
Object Homer W. Lockhart
Homer W. Lockhart was a prominent local figure in Fort Lauderdale, Florida, whose contributions to the community led to a major sports venue, Lockhart Stadium, being named in his honor.
E2015654 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: Homer W. Lockhart | Statement: [Lockhart Stadium, namedAfter, Homer W. Lockhart]
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: Homer W. Lockhart
Triple: [Lockhart Stadium, namedAfter, Homer W. Lockhart]
Generated description
Homer W. Lockhart was a prominent local figure in Fort Lauderdale, Florida, whose contributions to the community led to a major sports venue, Lockhart Stadium, being named in his honor.

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_69e0b4c652388190b782cad965e5a098 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e67695d4d48190b932317d37aa95d9 completed April 20, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3485e26c948190a519564467e44fe1 completed June 18, 2026, 11:57 p.m.
NEDg Description generation batch_6a3488ed6db88190af9197eb63f35313 completed June 19, 2026, 12:10 a.m.
NED2 Entity disambiguation (via description) batch_6a348a6e63bc8190a6df0a77a51245cc completed June 19, 2026, 12:16 a.m.
Created at: April 16, 2026, 11:11 a.m.