Triple
T1020098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minion Land |
E22019
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Margo |
E115848
|
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: Margo | Statement: [Minion Land, hasCharacter, Margo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Margo Context triple: [Minion Land, hasCharacter, Margo]
-
A.
Margo
chosen
Margo is the responsible and intelligent eldest of Gru’s three adopted daughters in the Despicable Me franchise.
-
B.
Valerie
"Valerie" is a 1957 American Western film starring Sterling Hayden, loosely inspired by the Rashomon-style multiple-perspective narrative.
-
C.
Maggie
Maggie is a common diminutive form of the given name Margaret, often used as a familiar or affectionate nickname.
-
D.
Eva
Eva is a feminine given name of Hebrew origin, equivalent to "Eve" and widely used in many languages and cultures.
-
E.
Nina
Nina is a Danish fashion model best known for her appearances in the Sports Illustrated Swimsuit Issue and various high-profile advertising campaigns.
- 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_69a493d6e380819097b384986ffc315c |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7dbcf7c8190858b2d16a27bd2ff |
completed | March 1, 2026, 10:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3bb423fc8190af65e94f8e2e75d0 |
completed | March 7, 2026, 2:52 p.m. |
Created at: March 1, 2026, 7:41 p.m.