Triple

T36196823
Position Surface form Disambiguated ID Type / Status
Subject USS Bainbridge (DD-1) E1047149 entity
Predicate soldForScrapTo P12194 FINISHED
Object Henry A. Hitner’s Sons Company
Henry A. Hitner’s Sons Company was an American scrap and shipbreaking firm known for dismantling early U.S. Navy vessels.
 E2173317 NE FINISHED

How this triple was built (3 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: Henry A. Hitner’s Sons Company | Statement: [USS Bainbridge (DD-1), soldForScrapTo, Henry A. Hitner’s Sons Company]
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: Henry A. Hitner’s Sons Company
Triple: [USS Bainbridge (DD-1), soldForScrapTo, Henry A. Hitner’s Sons Company]
Generated description
Henry A. Hitner’s Sons Company was an American scrap and shipbreaking firm known for dismantling early U.S. Navy vessels.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: soldForScrapTo
Context triple: [USS Bainbridge (DD-1), soldForScrapTo, Henry A. Hitner’s Sons Company]
  • A. soldForScrap chosen
    Indicates that something was disposed of or transferred specifically to be broken down and recycled for its material value rather than used in its original form.
  • B. scrappedTo
    Indicates that something has been discarded, dismantled, or removed in order to be replaced or converted into another specified thing or state.
  • C. scrappedAt
    Indicates the time or date at which something was discarded, decommissioned, or removed from use.
  • D. placeScrapped
    Indicates that a place has been dismantled, discarded, or removed from use.
  • E. scrappedAfter
    Indicates that one entity was discarded, removed, or abandoned after another specified event or entity in time.
  • F. None of above.

Provenance (6 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_69f76e414bdc8190996f15a544220a3d completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7b69b333081909cadbed3fcb8ecf5 completed May 3, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_6a393419746c8190a2f56199d956d8de completed June 22, 2026, 1:09 p.m.
NEDg Description generation batch_6a39369ca6548190805df490338f4ca1 completed June 22, 2026, 1:20 p.m.
NED2 Entity disambiguation (via description) batch_6a39370d87b48190a11099855a396280 completed June 22, 2026, 1:22 p.m.
PD Predicate disambiguation batch_69f7b4c2a5f8819094ad4621d7b97e0c completed May 3, 2026, 8:49 p.m.
Created at: May 3, 2026, 4:08 p.m.