Triple
T11857904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margo |
E282085
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Margo |
E919917
|
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: [Margo, name, Margo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Margo Context triple: [Margo, name, Margo]
-
A.
Margo
Margo was a Mexican-American actress and dancer known for her work in Hollywood films of the 1930s and 1940s and for her later stage and television appearances.
-
B.
Margo
chosen
Margo is a feminine given name commonly used in English-speaking countries, often considered a variant of Margot or Margaret.
-
C.
Margo
Margo is the responsible and intelligent eldest of Gru’s three adopted daughters in the Despicable Me franchise.
-
D.
Marnie
Marnie is a 1964 psychological thriller film directed by Alfred Hitchcock, starring Tippi Hedren and Sean Connery, about a troubled woman with a mysterious past and compulsive thieving.
-
E.
Margo Madison
Margo Madison is a central character in the alternate-history science fiction TV series "For All Mankind," portrayed as a brilliant NASA engineer and later administrator navigating the political and personal challenges of an expanded space race.
- 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a699089c8190b7a298baf13dcded |
completed | April 10, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f2816404ac81909129347607fb5fd3 |
completed | April 29, 2026, 10:08 p.m. |
Created at: April 8, 2026, 9:43 p.m.