Triple
T14124733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Young Dory |
E339998
|
entity |
| Predicate | voicedBy |
P2181
|
FINISHED |
| Object | Sloane Murray |
E339998
|
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: Sloane Murray | Statement: [Young Dory, voicedBy, Sloane Murray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sloane Murray Context triple: [Young Dory, voicedBy, Sloane Murray]
-
A.
Sloane Murray
chosen
Sloane Murray is a child voice actress best known for portraying the younger version of Dory in Pixar's animated film "Finding Dory."
-
B.
Sloane Klevin
Sloane Klevin is a film editor known for her work on feature films such as "Tarzan and the Lost City."
-
C.
Mallory Hanson
Mallory Hanson is a central supporting character in the comedy series "Grace and Frankie," known as one of Grace's daughters who often juggles family responsibilities and personal ambitions.
-
D.
Makenzie Moss
Makenzie Moss is an American actress known for her roles as a child performer in films and television, including a part in the biographical drama "Steve Jobs" (2015).
-
E.
Mallory Pugh
Mallory Pugh is an American professional soccer player and U.S. women’s national team forward known for her speed, creativity, and impact at both club and international levels.
- 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_69d81c6a95b481909e39111e0c1f31ee |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de6096976481909dc79066c5165a50 |
completed | April 14, 2026, 3:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d043860819099526cbae1b1ef18 |
completed | May 8, 2026, 1:31 a.m. |
Created at: April 9, 2026, 10:22 p.m.