Triple
T4029910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Desert Song (1929 film) |
E83682
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Margot |
E300320
|
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: Margot | Statement: [The Desert Song (1929 film), mainCharacter, Margot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Margot Context triple: [The Desert Song (1929 film), mainCharacter, Margot]
-
A.
Margot
chosen
Margot is a feminine given name of French origin, often associated with Margot Frank, the elder sister of diarist Anne Frank.
-
B.
Pierrette
Pierrette is a French feminine given name, traditionally considered the female form of Pierre.
-
C.
Estelle
Estelle is a British singer, rapper, and songwriter best known for her hit single "American Boy" featuring Kanye West.
-
D.
Madelaine
Madelaine is a character in the Danish crime thriller film "The Salvation."
-
E.
Renée
Renée is a feminine given name of French origin, commonly used in French-speaking countries and beyond.
- 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_69aed92e29ac819080f7a98b594fec05 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaf1d8208190951a20ad7e5ab7bc |
completed | March 9, 2026, 4:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b55638390481909d8e4b7340f92a06 |
completed | March 14, 2026, 12:36 p.m. |
Created at: March 9, 2026, 3:36 p.m.