Triple

T37635092
Position Surface form Disambiguated ID Type / Status
Subject Halobacillus E936465 entity
Predicate firstDescribedBy P7386 FINISHED
Object Spring et al.
Spring et al. is the research group that originally characterized and formally described the bacterial genus Halobacillus in the scientific literature.
 E2236643 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: Spring et al. | Statement: [Halobacillus, firstDescribedBy, Spring et al.]
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: Spring et al.
Triple: [Halobacillus, firstDescribedBy, Spring et al.]
Generated description
Spring et al. is the research group that originally characterized and formally described the bacterial genus Halobacillus in the scientific literature.

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_69f76ed31d8881908405da6c6d2f0463 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fba95edda08190bea283657264ee8d completed May 6, 2026, 8:49 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40aff7ac6c81909fdde783e776b35e completed June 28, 2026, 5:24 a.m.
NEDg Description generation batch_6a40b3dbff54819087858ffecced5bcb completed June 28, 2026, 5:40 a.m.
NED2 Entity disambiguation (via description) batch_6a40b46dca7881909e788ac6307c29c1 completed June 28, 2026, 5:43 a.m.
Created at: May 3, 2026, 4:18 p.m.