Triple
T11339711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margo Gru |
E268561
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Edith Gru |
E269525
|
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: Edith Gru | Statement: [Margo Gru, sibling, Edith Gru]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edith Gru Context triple: [Margo Gru, sibling, Edith Gru]
-
A.
Edith Gru
chosen
Edith Gru is one of Gru’s mischievous adopted daughters in the Despicable Me animated film series, recognizable by her pink hat and tomboyish, adventurous personality.
-
B.
Margo Gru
Margo Gru is the responsible and intelligent eldest adopted daughter of Gru in the animated Despicable Me film series.
-
C.
Helga
Helga is a feminine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
-
D.
Wendy Darling
Wendy Darling is a central character in J. M. Barrie’s Peter Pan stories, known as the imaginative, nurturing girl who travels to Neverland and becomes a motherly figure to the Lost Boys.
-
E.
Minnie
Minnie is the nickname of Aminda "Minnie" Badeau, likely used as her familiar or preferred given name.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea01c6c08190910a6ce8fb7e186d |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e55645d8bc8190b338c05ee382d5fc |
completed | April 19, 2026, 10:25 p.m. |
Created at: April 8, 2026, 9:33 p.m.