Triple
T22976986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aurora Lane |
E571349
|
entity |
| Predicate | ship |
P880
|
FINISHED |
| Object |
Avalon
Avalon is the massive interstellar starship in the film "Passengers" that transports thousands of colonists on a long-duration voyage to a distant planet.
|
E1564782
|
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: Avalon | Statement: [Aurora Lane, ship, Avalon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Avalon Context triple: [Aurora Lane, ship, Avalon]
-
A.
Avalon
"Avalon" is a 1990 American drama film chronicling the experiences and generational conflicts of a Jewish immigrant family in mid-20th-century Baltimore.
-
B.
Avalon
"Avalon" is a popular jazz standard from the early 20th century that became widely known through swing-era performances and recordings.
-
C.
Avalon
Avalon is a full-size sedan produced by Toyota, known for its comfort, reliability, and upscale features.
-
D.
Avalon
Avalon is a federal electoral district in Newfoundland and Labrador, Canada, represented in the House of Commons.
-
E.
Avalon
Avalon is a spaceborne sanctuary and stronghold associated with the Marvel Comics character Magneto, often depicted as a refuge for mutants.
- 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: Avalon Triple: [Aurora Lane, ship, Avalon]
Generated description
Avalon is the massive interstellar starship in the film "Passengers" that transports thousands of colonists on a long-duration voyage to a distant planet.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Avalon Target entity description: Avalon is the massive interstellar starship in the film "Passengers" that transports thousands of colonists on a long-duration voyage to a distant planet.
-
A.
Avalon
Avalon is a spaceborne sanctuary and stronghold associated with the Marvel Comics character Magneto, often depicted as a refuge for mutants.
-
B.
Avalon
Avalon is a full-size sedan produced by Toyota, known for its comfort, reliability, and upscale features.
-
C.
Avalon
"Avalon" is a 1990 American drama film chronicling the experiences and generational conflicts of a Jewish immigrant family in mid-20th-century Baltimore.
-
D.
Avalon
Avalon is a locality in Victoria, Australia, best known for its airport and proximity to both Geelong and Melbourne.
-
E.
Avalon
Avalon is a master-planned residential community in Sugar Land, Texas, known for its organized layout, amenities, and suburban lifestyle.
- 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_69e245b3c50481908bb3741ec9f40862 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182369b548190a6630655a6e0bb39 |
completed | April 29, 2026, 3:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bd36f73a48190ba07a754949e2e40 |
completed | May 19, 2026, 3:05 a.m. |
| NEDg | Description generation | batch_6a0bd41c89708190a3df2a798ca25c99 |
completed | May 19, 2026, 3:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bd5263734819082ce8b1c3082243f |
completed | May 19, 2026, 3:12 a.m. |
Created at: April 17, 2026, 3:48 p.m.