Triple
T11019857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perfect Moment |
E260458
|
entity |
| Predicate | songwriter |
P1141
|
FINISHED |
| Object | Wendy Page |
E340161
|
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: Wendy Page | Statement: [Perfect Moment, songwriter, Wendy Page]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wendy Page Context triple: [Perfect Moment, songwriter, Wendy Page]
-
A.
Wendy Page
chosen
Wendy Page is a British singer, songwriter, and producer known for her work in pop and rock music, including collaborations with artists such as Peter Andre and Billie Piper.
-
B.
Wendy Padbury
Wendy Padbury is a British actress best known for playing the companion Zoe Heriot in the classic science fiction television series Doctor Who during the late 1960s.
-
C.
Jennifer Page
Jennifer Page is a pop singer best known for her late-1990s hit single "Crush."
-
D.
Wendy Ferguson
Wendy Ferguson is known as a child of the renowned Canadian jazz trumpeter and bandleader Maynard Ferguson.
-
E.
Annette Page
Annette Page was a British ballerina best known as a principal dancer with The Royal Ballet during the mid-20th century.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797baad408190a53fd6941a750f68 |
completed | April 9, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3a98725808190903639866a3e745f |
completed | April 18, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:25 p.m.