Triple
T3794203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack Higgins |
E89727
|
entity |
| Predicate | bestsellingStatus |
P51791
|
FINISHED |
| Object | international bestseller |
—
|
LITERAL FINISHED |
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: international bestseller | Statement: [Jack Higgins, bestsellingStatus, international bestseller]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestsellingStatus Context triple: [Jack Higgins, bestsellingStatus, international bestseller]
-
A.
bestSellingGame
Indicates that the related game is the top-selling title within a specified group, category, or time period.
-
B.
soldCopies
Indicates that a certain number of copies of an item were sold by a seller (or in a context) to buyers.
-
C.
rankedHighInUS
Indicates that something has achieved a relatively high ranking or position within the United States according to a specific metric or evaluation.
-
D.
bestOf
Indicates that one entity is the top-ranked or most outstanding member within a specified group, set, or collection.
-
E.
topSellingGame
Indicates that the related game is the highest-selling (by units or revenue) within a specified group, category, or time period.
- 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_69aed9597d6881909b6ee3b9de859223 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeecefa3608190a7a20ed6df6a64b2 |
completed | March 9, 2026, 3:53 p.m. |
| PD | Predicate disambiguation | batch_69aee743c8d08190a9f9c97b836bd703 |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aeecee63e8819099b8ee8ad4d4354e |
completed | March 9, 2026, 3:53 p.m. |
Created at: March 9, 2026, 3:15 p.m.