Triple
T3240995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alice in Wonderland (1951 film) |
E67964
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Alice
Alice is the curious young girl who serves as the main protagonist of Disney’s animated film "Alice in Wonderland."
|
E339871
|
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: Alice | Statement: [Alice in Wonderland (1951 film), featuresCharacter, Alice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alice Context triple: [Alice in Wonderland (1951 film), featuresCharacter, Alice]
-
A.
Alice
Alice is one of the given names of Anne, Princess Royal, the only daughter of Queen Elizabeth II and Prince Philip.
-
B.
Alice
Alice is an American sitcom that aired from the mid-1970s to the mid-1980s, following a widowed waitress working at a roadside diner and the quirky people in her life.
-
C.
Alice
Alice is an ultraviolet imaging spectrograph aboard NASA's New Horizons spacecraft, used to study the composition and structure of planetary atmospheres and surfaces.
-
D.
Albert
Albert is the given name of the renowned theoretical physicist Albert Einstein, whose work revolutionized modern physics.
-
E.
Albert
Albert is the given first name of American actor and singer Gordon MacRae, best known for his roles in classic film musicals like "Oklahoma!" and "Carousel."
- 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: Alice Triple: [Alice in Wonderland (1951 film), featuresCharacter, Alice]
Generated description
Alice is the curious young girl who serves as the main protagonist of Disney’s animated film "Alice in Wonderland."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alice Target entity description: Alice is the curious young girl who serves as the main protagonist of Disney’s animated film "Alice in Wonderland."
-
A.
Alice
Alice is one of the given names of Anne, Princess Royal, the only daughter of Queen Elizabeth II and Prince Philip.
-
B.
Alice
Alice is an American sitcom that aired from the mid-1970s to the mid-1980s, following a widowed waitress working at a roadside diner and the quirky people in her life.
-
C.
Alice
Alice is an ultraviolet imaging spectrograph aboard NASA's New Horizons spacecraft, used to study the composition and structure of planetary atmospheres and surfaces.
-
D.
Albert
Albert is the given first name of American actor and singer Gordon MacRae, best known for his roles in classic film musicals like "Oklahoma!" and "Carousel."
-
E.
Albert
Albert is the given name of the 19th-century German-American painter Albert Bierstadt, renowned for his grand landscapes of the American West.
- F. None of above. chosen
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_69ad858d27348190abb61c280b4c86a9 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaef6430081909084589f6eea5c7e |
completed | March 8, 2026, 5:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b27754492c819099bab9a2a3344561 |
completed | March 12, 2026, 8:20 a.m. |
| NEDg | Description generation | batch_69b27a0c1f74819087bd0aa869eefd7b |
completed | March 12, 2026, 8:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b27acca734819083bdd7713b10ff1a |
completed | March 12, 2026, 8:35 a.m. |
Created at: March 8, 2026, 3:08 p.m.