Triple
T11982495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Once Upon a Time (TV series) |
E285195
|
entity |
| Predicate | features |
P997
|
FINISHED |
| Object |
Anna
Anna is a character in the fantasy drama series "Once Upon a Time," inspired by Princess Anna from Disney's "Frozen" and portrayed as the optimistic, brave younger sister of Elsa.
|
E198466
|
NE FINISHED |
How this triple was built (4 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: Anna | Statement: [Once Upon a Time (TV series), features, Anna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anna Context triple: [Once Upon a Time (TV series), features, Anna]
-
A.
Anna
Anna is the tragic, aristocratic heroine of Leo Tolstoy’s novel "Anna Karenina," whose passionate affair and struggle against societal norms lead to her downfall.
-
B.
Anna
Anna is a character appearing in the home-renovation reality TV series "Fixer Upper."
-
C.
Anna
Anna of Moscow was a medieval Russian noblewoman and princess associated with the ruling dynasties of Muscovy.
-
D.
Anna
Anna is the popular nickname of C. N. Annadurai, a prominent Indian politician, writer, and founder of the Dravida Munnetra Kazhagam (DMK) party who served as Chief Minister of Tamil Nadu.
-
E.
Anna
Anna is a central fictional character in Michael Ondaatje's novel "Divisadero," around whom much of the story's emotional and narrative complexity revolves.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Anna Triple: [Once Upon a Time (TV series), features, Anna]
Generated description
Anna is a character in the fantasy drama series "Once Upon a Time," inspired by Princess Anna from Disney's "Frozen" and portrayed as the optimistic, brave younger sister of Elsa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anna Target entity description: Anna is a character in the fantasy drama series "Once Upon a Time," inspired by Princess Anna from Disney's "Frozen" and portrayed as the optimistic, brave younger sister of Elsa.
-
A.
Anna
chosen
Anna is a spirited and optimistic princess from Disney's animated film "Frozen," known for her bravery, loyalty, and deep love for her sister Elsa.
-
B.
Anna
Anna is a fictional character played by British actress Naomi Ackie, known for her work in film and television.
-
C.
Anna
Anna is a character appearing in the home-renovation reality TV series "Fixer Upper."
-
D.
Anna
Anna is a supporting character in Hector Berlioz’s grand opera *Les Troyens*, typically portrayed as Dido’s loyal sister and confidante.
-
E.
Anna
Anna is a character from the "Predator" franchise, appearing as one of the human figures caught up in the deadly encounters with the extraterrestrial hunter.
- F. None of above.
Provenance (5 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903973c848190aac871d6dfecc74b |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4721913108190bd767c671f6484de |
completed | May 1, 2026, 9:27 a.m. |
| NEDg | Description generation | batch_69f47b7c5af08190ab0bff1232530a0c |
completed | May 1, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f47dd51e648190bddd41766221e22d |
completed | May 1, 2026, 10:17 a.m. |
Created at: April 8, 2026, 9:46 p.m.