Triple
T2461755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Despicable Me |
E54548
|
entity |
| Predicate | notableCharacter |
P1481
|
FINISHED |
| Object |
Edith Gru
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.
|
E269525
|
NE FINISHED |
How this triple was built (4 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: [Despicable Me, notableCharacter, Edith Gru]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edith Gru Context triple: [Despicable Me, notableCharacter, Edith Gru]
-
A.
Margo Gru
Margo Gru is the responsible and intelligent eldest adopted daughter of Gru in the animated Despicable Me film series.
-
B.
Mrs. Claus
Mrs. Claus is the kindly, maternal figure of Christmas folklore who lives at the North Pole with Santa, often depicted baking cookies, caring for elves, and helping manage holiday preparations.
-
C.
Barbara
Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
-
D.
Barbara
Barbara is a station on Paris Métro Line 4 serving the southern suburbs of the French capital.
-
E.
Elsa
Elsa is a feminine given name of Germanic origin, widely recognized today through its use for the main character in Disney's animated film "Frozen."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Edith Gru Triple: [Despicable Me, notableCharacter, Edith Gru]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Edith Gru Target entity description: 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.
-
A.
Margo Gru
Margo Gru is the responsible and intelligent eldest adopted daughter of Gru in the animated Despicable Me film series.
-
B.
Mrs. Claus
Mrs. Claus is the kindly, maternal figure of Christmas folklore who lives at the North Pole with Santa, often depicted baking cookies, caring for elves, and helping manage holiday preparations.
-
C.
Barbara
Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
-
D.
Barbara
Barbara is a station on Paris Métro Line 4 serving the southern suburbs of the French capital.
-
E.
Elsa
Elsa is a feminine given name of Germanic origin, widely recognized today through its use for the main character in Disney's animated film "Frozen."
- F. None of above. chosen
Provenance (5 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_69ab49dee84c819096b50a0049c347ac |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd11c47408190b10c7f6a151f2db2 |
completed | March 7, 2026, 7:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af179665d081909f9a761fa50c44e7 |
completed | March 9, 2026, 6:55 p.m. |
| NEDg | Description generation | batch_69af185baf5c8190b8aa3dc672f2e1be |
completed | March 9, 2026, 6:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af18d8ab0881908ecd027080f96e0e |
completed | March 9, 2026, 7 p.m. |
Created at: March 6, 2026, 9:44 p.m.