Triple

T24471185
Position Surface form Disambiguated ID Type / Status
Subject Michael Averett Lowell E617103 entity
Predicate alsoKnownAs P39 FINISHED
Object Michael A. Stackpole
Michael A. Stackpole is an American science fiction and fantasy author best known for his work in the Star Wars expanded universe and Battletech novel series.
E1652197 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: Michael A. Stackpole | Statement: [Michael Averett Lowell, alsoKnownAs, Michael A. Stackpole]
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: Michael A. Stackpole
Triple: [Michael Averett Lowell, alsoKnownAs, Michael A. Stackpole]
Generated description
Michael A. Stackpole is an American science fiction and fantasy author best known for his work in the Star Wars expanded universe and Battletech novel series.

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_69e2d7f197588190889a03e620558059 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f299432b2881909502f9cbc7e4dbb0 completed April 29, 2026, 11:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a101bdabe88819085ae568210802f84 completed May 22, 2026, 9:03 a.m.
NEDg Description generation batch_6a10273b405c8190b9a68a74c92b9e7b completed May 22, 2026, 9:51 a.m.
NED2 Entity disambiguation (via description) batch_6a1027f5bdd4819081cf55a1ad77b4ab completed May 22, 2026, 9:55 a.m.
Created at: April 18, 2026, 2:20 a.m.