Triple

T31076339

Position	Surface form	Disambiguated ID	Type / Status
Subject	HMAS Anzac (fictional cruiser)	`E791974`	entity
Predicate	characterRankOnBoard	`P103031`	FINISHED
Object	Lieutenant-Commander Peter Holmes Lieutenant-Commander Peter Holmes is a fictional Royal Australian Navy officer, best known as one of the central characters in Nevil Shute’s post-apocalyptic novel "On the Beach."	`E1945655`	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: Lieutenant-Commander Peter Holmes | Statement: [HMAS Anzac (fictional cruiser), characterRankOnBoard, Lieutenant-Commander Peter Holmes]

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: Lieutenant-Commander Peter Holmes
Triple: [HMAS Anzac (fictional cruiser), characterRankOnBoard, Lieutenant-Commander Peter Holmes]

Generated description

Lieutenant-Commander Peter Holmes is a fictional Royal Australian Navy officer, best known as one of the central characters in Nevil Shute’s post-apocalyptic novel "On the Beach."

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: characterRankOnBoard
Context triple: [HMAS Anzac (fictional cruiser), characterRankOnBoard, Lieutenant-Commander Peter Holmes]

A. roleInRanking
Indicates that an entity holds a specific position or function within a particular ranking or ordered list.
B. playedRank
Indicates that an entity participated in an activity, event, or game at a specified rank or position in the ordering.
C. rankInformation
Indicates that information is being ordered or prioritized according to some ranking criteria or relevance.
D. squareRank
Indicates that one entity has a square (second-power) relationship to the rank or position value of another entity.
E. rankingPositions chosen
Indicates the ordered placement or level assigned to entities within a ranking or hierarchy.
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_69f224ccdbbc81909b0cdb4cc2d70c7a`	completed	April 29, 2026, 3:33 p.m.
NER	Named-entity recognition	`batch_69fe349879848190bcd77e3cc3470458`	completed	May 8, 2026, 7:08 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a292b23e16c819083a3d342fea5a473`	completed	June 10, 2026, 9:15 a.m.
NEDg	Description generation	`batch_6a292cdd5ee88190926628802531846f`	completed	June 10, 2026, 9:22 a.m.
NED2	Entity disambiguation (via description)	`batch_6a2930b369f4819082c70a68175249b8`	completed	June 10, 2026, 9:38 a.m.
PD	Predicate disambiguation	`batch_69fe31e3cf908190b23ebc2f7fe58722`	completed	May 8, 2026, 6:56 p.m.

Created at: April 29, 2026, 9:02 p.m.