Triple

T34587717

Position	Surface form	Disambiguated ID	Type / Status
Subject	Travis McGee series	`E888087`	entity
Predicate	fourteenthBook	`P179352`	FINISHED
Object	The Scarlet Ruse The Scarlet Ruse is a crime novel by John D. MacDonald featuring salvage consultant-detective Travis McGee as he investigates a dangerous case involving rare postage stamps.	`E2101845`	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: The Scarlet Ruse | Statement: [Travis McGee series, fourteenthBook, The Scarlet Ruse]

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: The Scarlet Ruse
Triple: [Travis McGee series, fourteenthBook, The Scarlet Ruse]

Generated description

The Scarlet Ruse is a crime novel by John D. MacDonald featuring salvage consultant-detective Travis McGee as he investigates a dangerous case involving rare postage stamps.

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

Target predicate: fourteenthBook
Context triple: [Travis McGee series, fourteenthBook, The Scarlet Ruse]

A. twelfthBook
Indicates that one entity is the twelfth book in a sequence or ordered collection associated with another entity.
B. eleventhBook
Indicates that one entity is the eleventh book in a sequence or ordered collection relative to another entity.
C. fourteenthStation
Indicates the relationship in which an event, object, or location is identified as the fourteenth station in a sequential series (such as the Stations of the Cross).
D. fourthEditionYear
Indicates the year in which the fourth edition of something (such as a work, product, or publication) was released or published.
E. fourthFilm
Indicates that one film is the fourth installment in a sequence or series of films related to another entity.
F. None of above. chosen

Provenance (7 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_69f349d25cbc8190869998de5915886b`	completed	April 30, 2026, 12:23 p.m.
NER	Named-entity recognition	`batch_69f720c9eb9c819082e5137cd7fbdbf4`	completed	May 3, 2026, 10:17 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a37363f21a48190a7d371f4a50d27f7`	completed	June 21, 2026, 12:54 a.m.
NEDg	Description generation	`batch_6a37373c8d2c8190b29f4a91836b6e40`	completed	June 21, 2026, 12:58 a.m.
NED2	Entity disambiguation (via description)	`batch_6a3737bde2e8819099605cf04b5de6f1`	completed	June 21, 2026, 1 a.m.
PD	Predicate disambiguation	`batch_69f71cc8074c81909ae09bea2acf1a09`	completed	May 3, 2026, 10 a.m.
PDg	Predicate description generation	`batch_69f71f8df5d48190944fbfbd9d573868`	completed	May 3, 2026, 10:12 a.m.

Created at: May 1, 2026, 2:03 a.m.