Triple
T34587717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Travis McGee series |
E888087
|
entity |
| Predicate | fourteenthBook |
P179352
|
FINISHED |
| Object | The Scarlet Ruse |
—
|
NE NERFINISHED |
How this triple was built (2 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]
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 (4 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. |
| 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.