Triple

T25764406

Position	Surface form	Disambiguated ID	Type / Status
Subject	The Blue Ghost	`E648838`	entity
Predicate	associatedWithShipName	`P124609`	FINISHED
Object	Lexington Lexington is a famed U.S. Navy aircraft carrier whose notable World War II service earned it the enduring nickname "The Blue Ghost."	`E1696076`	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: Lexington | Statement: [The Blue Ghost, associatedWithShipName, Lexington]

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: Lexington
Triple: [The Blue Ghost, associatedWithShipName, Lexington]

Generated description

Lexington is a famed U.S. Navy aircraft carrier whose notable World War II service earned it the enduring nickname "The Blue Ghost."

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

Target predicate: associatedWithShipName
Context triple: [The Blue Ghost, associatedWithShipName, Lexington]

A. shipNameWith
Indicates that a ship is associated with or identified by a particular name.
B. shipAssociatedWith
Indicates that there is a relevant connection or involvement between a ship and another entity, such as ownership, operation, registration, or functional association.
C. hasShipName chosen
Indicates that an entity (such as a vessel or record) is associated with a specific ship name.
D. associatedWithShipbuilder
Indicates a relationship where an entity is connected or linked in some relevant capacity to a shipbuilder.
E. associatedWithVoyage
Indicates a relationship where an entity is linked or connected to a specific voyage, journey, or trip.
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_69e7ab322db0819092d6a2b3d4572e01`	completed	April 21, 2026, 4:52 p.m.
NER	Named-entity recognition	`batch_69fdbaa226708190b8ed96e93aad38de`	completed	May 8, 2026, 10:27 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a10da01b1d0819094ef7d6bb9ee01aa`	completed	May 22, 2026, 10:34 p.m.
NEDg	Description generation	`batch_6a10dac66f8c81909a4c4f4a2df2ac16`	completed	May 22, 2026, 10:37 p.m.
NED2	Entity disambiguation (via description)	`batch_6a10db25668881909028d0293ec4da51`	completed	May 22, 2026, 10:39 p.m.
PD	Predicate disambiguation	`batch_69fdb58b07e48190837e00966de050d4`	completed	May 8, 2026, 10:06 a.m.

Created at: April 22, 2026, 5:08 a.m.