Triple
T23219745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Celia Weston |
E580852
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Alice
"Alice" is a 1988 American comedy-drama film featuring Celia Weston in a notable role.
|
E1572186
|
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: [Celia Weston, notableWork, Alice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alice Context triple: [Celia Weston, notableWork, Alice]
-
A.
Alice
Alice is the curious young girl who serves as the main protagonist of Disney’s animated film "Alice in Wonderland."
-
B.
Alice
"Alice" is a 2002 studio album by Tom Waits that blends dark cabaret, jazz, and experimental sounds, originally developed as music for a stage play collaboration with Robert Wilson.
-
C.
Alice
Alice is a Direct Memory Access (DMA) controller used in Commodore's Amiga AGA chipset generation to handle high-speed data transfers between memory and peripherals.
-
D.
Alice
Alice is a small town in South Africa’s Eastern Cape province, known as an educational center and for its historical significance in the region.
-
E.
Alice
Alice is the given first name of the renowned American science fiction and fantasy author Andre Norton.
- 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: [Celia Weston, notableWork, Alice]
Generated description
"Alice" is a 1988 American comedy-drama film featuring Celia Weston in a notable role.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alice Target entity description: "Alice" is a 1988 American comedy-drama film featuring Celia Weston in a notable role.
-
A.
Alice
"Alice" is a 1990 romantic comedy-drama film written and directed by Woody Allen, starring Mia Farrow as a wealthy Manhattan woman undergoing a magical, introspective midlife crisis.
-
B.
Alice
Alice is the central protagonist of the Australian romantic comedy film "Love and Other Catastrophes," around whose relationships and misadventures the story revolves.
-
C.
Alice
Alice is a central comedic character in the film "Mike and Dave Need Wedding Dates," known for her wild, unpredictable behavior as one of the women who answer the brothers’ ad for wedding dates.
-
D.
Alice
Alice is the central protagonist of the 2017 dark comedy film "Rough Night," around whom the chaotic bachelorette-party storyline revolves.
-
E.
Alice
Alice is a character featured in one of the horror-comedy anthology segments of the film Creepshow 3.
- 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_69e2460389408190be74f41d217799a9 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1916870148190853874e6cf26bbc7 |
completed | April 29, 2026, 5:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c30cc9c0481909302d64fa58d426e |
completed | May 19, 2026, 9:43 a.m. |
| NEDg | Description generation | batch_6a0c325a76e8819094592ccff955a9e9 |
completed | May 19, 2026, 9:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c32c9d7cc8190b3d3a173d231e430 |
completed | May 19, 2026, 9:52 a.m. |
Created at: April 17, 2026, 4:08 p.m.