Triple
T10935503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monarch |
E258321
|
entity |
| Predicate | notableMember |
P10
|
FINISHED |
| Object | Emma Russell |
E817480
|
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: Emma Russell | Statement: [Monarch, notableMember, Emma Russell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emma Russell Context triple: [Monarch, notableMember, Emma Russell]
-
A.
Emma Russell
chosen
Emma Russell is a character in the MonsterVerse franchise, depicted as a Monarch scientist and the mother of Madison Russell in the film "Godzilla: King of the Monsters."
-
B.
Julia Thorne
Julia Thorne was an American writer and mental health advocate best known as the first wife of politician John Kerry.
-
C.
Autumn Reeser
Autumn Reeser is an American actress best known for her television roles on series such as "The O.C.," "Entourage," and numerous Hallmark Channel movies.
-
D.
Bella Greene
Bella Greene is a relatively obscure individual whose specific public achievements or background are not widely documented.
-
E.
Bella Thornton
Bella Thornton is the daughter of American actor, filmmaker, and musician Billy Bob Thornton.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770aee178819082c1671a37ff7d82 |
completed | April 9, 2026, 9:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23bee9b208190aee8f938dff3f234 |
completed | April 17, 2026, 1:55 p.m. |
Created at: April 8, 2026, 9:23 p.m.