Triple
T8190736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Larry Page |
E191295
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object | Gloria Page |
E191295
|
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: Gloria Page | Statement: [Larry Page, parent, Gloria Page]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gloria Page Context triple: [Larry Page, parent, Gloria Page]
-
A.
Gloria Page
chosen
Gloria Page is known as the mother of Larry Page, the co-founder of Google.
-
B.
Gloria Millington
Gloria Millington is a fictional character from the "Kingdom" series, known for her role within its dramatic, character-driven storyline.
-
C.
Gloria Connors
Gloria Connors was an American tennis coach best known as the mother and early mentor of tennis champion Jimmy Connors.
-
D.
Gloria Foster
Gloria Foster was an American actress best known for her acclaimed stage work and for portraying the Oracle in the first two films of The Matrix trilogy.
-
E.
Gloria Gaines
Gloria Gaines is the wife of longtime White House butler Cecil Gaines in the film "The Butler," serving as a central figure in his personal and family life.
- 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_69ca82c5b6948190a583c096fb0a6c71 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4da2f4108190b9b69cb7f41ef374 |
completed | March 31, 2026, 4:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1cb9c9e0819080ea2875b22537ec |
completed | April 2, 2026, 7:37 a.m. |
Created at: March 30, 2026, 5:41 p.m.