Triple
T6612749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edith |
E149275
|
entity |
| Predicate | adoptiveFather |
P4385
|
FINISHED |
| Object | Gru |
E114480
|
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: Gru | Statement: [Edith, adoptiveFather, Gru]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gru Context triple: [Edith, adoptiveFather, Gru]
-
A.
Gru
chosen
Gru is the bald, long-nosed former supervillain and adoptive father of three girls who serves as the central protagonist of the Despicable Me animated film franchise.
-
B.
Gruer
Gruer is a character in Isaac Asimov's science fiction novel "The Naked Sun," involved in the investigation central to the story's plot.
-
C.
Skerik
Skerik is an American saxophonist known for his experimental, jazz, and rock collaborations, particularly in the Seattle music scene.
-
D.
Otto the Orange
Otto the Orange is the costumed anthropomorphic orange who serves as the beloved official mascot of Syracuse University’s athletic teams.
-
E.
Kronk
Kronk is the lovable, dim-witted yet surprisingly skilled henchman and chef from Disney's animated film "The Emperor's New Groove."
- 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_69c687ebc680819094caf71faba2efe2 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af3778a8819094e83afed7c6596f |
completed | March 27, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cbd651c08190a19513645fc781c9 |
completed | March 27, 2026, 6:26 p.m. |
Created at: March 27, 2026, 1:57 p.m.