Triple
T10584522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 77th Academy Awards |
E249819
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Oscars 2005
Oscars 2005 refers to the 77th Academy Awards ceremony honoring the best films of 2004 in the American film industry.
|
E873168
|
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: Oscars 2005 | Statement: [77th Academy Awards, alsoKnownAs, Oscars 2005]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oscars 2005 Context triple: [77th Academy Awards, alsoKnownAs, Oscars 2005]
-
A.
Oscars 2009
Oscars 2009 refers to the 81st Academy Awards ceremony honoring the best films of 2008, held in early 2009.
-
B.
Oscars 2008
Oscars 2008 refers to the 80th Academy Awards ceremony honoring the best films of 2007, held in early 2008.
-
C.
Oscars 2021
Oscars 2021 refers to the 93rd Academy Awards ceremony honoring the best films of 2020 and early 2021, held under extensive COVID-19 safety protocols.
-
D.
Oscars 2023
Oscars 2023 refers to the 95th Academy Awards ceremony honoring the best films of 2022, held in Los Angeles and presented by the Academy of Motion Picture Arts and Sciences.
-
E.
Oscars 2019
Oscars 2019 refers to the 91st Academy Awards ceremony honoring the best films of 2018, held in Hollywood and presented by the Academy of Motion Picture Arts and Sciences.
- 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: Oscars 2005 Triple: [77th Academy Awards, alsoKnownAs, Oscars 2005]
Generated description
Oscars 2005 refers to the 77th Academy Awards ceremony honoring the best films of 2004 in the American film industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oscars 2005 Target entity description: Oscars 2005 refers to the 77th Academy Awards ceremony honoring the best films of 2004 in the American film industry.
-
A.
Oscars 2009
Oscars 2009 refers to the 81st Academy Awards ceremony honoring the best films of 2008, held in early 2009.
-
B.
Oscars 2008
Oscars 2008 refers to the 80th Academy Awards ceremony honoring the best films of 2007, held in early 2008.
-
C.
Oscars 2021
Oscars 2021 refers to the 93rd Academy Awards ceremony honoring the best films of 2020 and early 2021, held under extensive COVID-19 safety protocols.
-
D.
Oscars 2023
Oscars 2023 refers to the 95th Academy Awards ceremony honoring the best films of 2022, held in Los Angeles and presented by the Academy of Motion Picture Arts and Sciences.
-
E.
Oscars 2019
Oscars 2019 refers to the 91st Academy Awards ceremony honoring the best films of 2018, held in Hollywood and presented by the Academy of Motion Picture Arts and Sciences.
- 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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d52768da9c8190add1db88bf2e16ea |
completed | April 7, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b820330819090ed70c6ba29b5c2 |
completed | April 10, 2026, 7:12 p.m. |
| NEDg | Description generation | batch_69d94d67e16481908efb939a3e65004c |
completed | April 10, 2026, 7:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d95227a1f48190ab847606a9ae0500 |
completed | April 10, 2026, 7:40 p.m. |
Created at: April 6, 2026, 12:39 p.m.