Triple
T3621857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annie |
E76744
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Annie |
E76744
|
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: Annie | Statement: [Annie, mainCharacter, Annie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Annie Context triple: [Annie, mainCharacter, Annie]
-
A.
Annie
chosen
Annie is a popular Broadway musical, later adapted into a film, about an optimistic orphan girl in 1930s New York.
-
B.
Annie
Annie is the young protagonist of the 1991 horror-comedy film "Critters 3," who leads the fight for survival against the alien creatures attacking her apartment building.
-
C.
Annie
Annie is the given name of Annie Lee Cooper, a prominent civil rights activist known for her role in the 1965 Selma to Montgomery marches.
-
D.
Little Orphant Annie
Little Orphant Annie is a popular 1885 narrative poem by James Whitcomb Riley, known for its spooky moral tales and its influence on later orphan-girl characters in American culture.
-
E.
Hattie
Hattie is a feminine given name most famously borne by Hattie McDaniel, the first African American to win an Academy Award.
- 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_69ad85dae2fc81908d1ceadbc6af0089 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc2bb12cc8190bd67597cf3b66a3a |
completed | March 8, 2026, 6:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4331e75d08190ad1ce3e7ef26454a |
completed | March 13, 2026, 3:54 p.m. |
Created at: March 8, 2026, 3:23 p.m.