Triple

T27384721
Position Surface form Disambiguated ID Type / Status
Subject STS-50 E691335 entity
Predicate payloadSpecialist P21472 FINISHED
Object Lawrence J. DeLucas
Lawrence J. DeLucas is an American optometrist and former NASA astronaut who flew as a payload specialist on the Space Shuttle to conduct materials science and biomedical experiments in microgravity.
 E2057934 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: Lawrence J. DeLucas | Statement: [STS-50, payloadSpecialist, Lawrence J. DeLucas]
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: Lawrence J. DeLucas
Triple: [STS-50, payloadSpecialist, Lawrence J. DeLucas]
Generated description
Lawrence J. DeLucas is an American optometrist and former NASA astronaut who flew as a payload specialist on the Space Shuttle to conduct materials science and biomedical experiments in microgravity.

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_69ef520386788190bc92cfcd97ebb67a completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f62c89b7b88190a8b2af842f5f9cca completed May 2, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a35afadcce881909baf642901f3998e completed June 19, 2026, 9:07 p.m.
NEDg Description generation batch_6a35b3e0e458819084da74918e1e448c completed June 19, 2026, 9:25 p.m.
NED2 Entity disambiguation (via description) batch_6a35b44270e08190b66305de4a5c0bb8 completed June 19, 2026, 9:27 p.m.
Created at: April 27, 2026, 12:24 p.m.