Triple

T31750901
Position Surface form Disambiguated ID Type / Status
Subject USS Flaherty (DE-135) E810413 entity
Predicate nameHonor P46466 FINISHED
Object Ensign Francis C. Flaherty, USNR
Ensign Francis C. Flaherty, USNR was a U.S. Navy Reserve officer and World War II hero posthumously awarded the Medal of Honor for his self-sacrificial actions during the attack on Pearl Harbor.
 E1975925 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: Ensign Francis C. Flaherty, USNR | Statement: [USS Flaherty (DE-135), nameHonor, Ensign Francis C. Flaherty, USNR]
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: Ensign Francis C. Flaherty, USNR
Triple: [USS Flaherty (DE-135), nameHonor, Ensign Francis C. Flaherty, USNR]
Generated description
Ensign Francis C. Flaherty, USNR was a U.S. Navy Reserve officer and World War II hero posthumously awarded the Medal of Honor for his self-sacrificial actions during the attack on Pearl Harbor.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: nameHonor
Context triple: [USS Flaherty (DE-135), nameHonor, Ensign Francis C. Flaherty, USNR]
  • A. nameHonors chosen
    Indicates that a name is given to honor, commemorate, or pay tribute to a particular entity.
  • B. honorificPartOfName
    Indicates that an honorific title or form of address is included as part of a person's full name.
  • C. nameBearerHonor
    Indicates that an entity bears or carries a name as an honor or mark of respect bestowed by another entity.
  • D. honorificNameOf
    Indicates that one entity is the honorific or respectful name or title used to refer to another entity.
  • E. honorificNickname
    Indicates that one entity is referred to by a respectful or honorific nickname by another entity or in a given context.
  • 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_69f348e340d48190b780fae618c51464 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6ab5262c88190bc54527b57ec2a81 completed May 3, 2026, 1:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b948722a08190b8595d25f8db18bb completed June 12, 2026, 5:09 a.m.
NEDg Description generation batch_6a2b955c66288190bdca1c3033f59c7c completed June 12, 2026, 5:13 a.m.
NED2 Entity disambiguation (via description) batch_6a2b967c9eb48190bb9b86d606233de2 completed June 12, 2026, 5:17 a.m.
PD Predicate disambiguation batch_69f6aa20a1588190a53533fc9764efb2 completed May 3, 2026, 1:51 a.m.
Created at: April 30, 2026, 11:28 p.m.