Triple
T7407115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joanna Page |
E170901
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Page |
E66950
|
NE 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: Page | Statement: [Joanna Page, familyName, Page]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Page Context triple: [Joanna Page, familyName, Page]
-
A.
Page
chosen
Page is a common English surname borne by numerous notable individuals across fields such as technology, entertainment, and politics.
-
B.
Pages
Pages is Apple's word processing and page layout application, part of the iWork productivity suite for macOS and iOS.
-
C.
Pag
Pag is a Croatian Adriatic island known for its barren, moonlike landscape, distinctive sheep’s milk cheese, and historic lace-making tradition.
-
D.
Page and Plant
Page and Plant was a musical duo and project formed by former Led Zeppelin members Jimmy Page and Robert Plant, known for revisiting and reinterpreting Zeppelin material alongside new collaborative work.
-
E.
PAG
PAG is the stock ticker and common abbreviation for Penske Automotive Group, a large international transportation services company specializing in automotive and commercial truck dealerships.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c68a6010108190925e5284de022660 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f298f2388190afc944c9bc78749a |
completed | March 27, 2026, 9:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8111adbf48190a04df3cec1017b39 |
completed | March 28, 2026, 5:34 p.m. |
Created at: March 27, 2026, 3:10 p.m.