Triple

T23632350
Position Surface form Disambiguated ID Type / Status
Subject Battle of Memphis E583647 entity
Predicate shipInvolved P862 FINISHED
Object USS Baron De Kalb
USS Baron De Kalb was a Union ironclad river gunboat of the American Civil War that served in the Western Theater, notably participating in major Mississippi River operations.
E1662278 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: USS Baron De Kalb | Statement: [Battle of Memphis, shipInvolved, USS Baron De Kalb]
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: USS Baron De Kalb
Triple: [Battle of Memphis, shipInvolved, USS Baron De Kalb]
Generated description
USS Baron De Kalb was a Union ironclad river gunboat of the American Civil War that served in the Western Theater, notably participating in major Mississippi River operations.

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_69e248fe1c2c8190ac914d2442ff3d26 completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b1e90a6881909f19b2446f9d54f0 completed April 29, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10486202c48190822689fb1ae2ede3 completed May 22, 2026, 12:13 p.m.
NEDg Description generation batch_6a10496ad0748190b797fea89fc9472d completed May 22, 2026, 12:17 p.m.
NED2 Entity disambiguation (via description) batch_6a104bc667e48190bb0feadc5b324cde completed May 22, 2026, 12:27 p.m.
Created at: April 17, 2026, 6:47 p.m.