Triple
T4427153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rayy |
E95236
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Rages
Rages is an alternative name for the figure or entity known as Rayy.
|
E438449
|
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: Rages | Statement: [Rayy, hasAlternativeName, Rages]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rages Context triple: [Rayy, hasAlternativeName, Rages]
-
A.
The Rage
The Rage is a 2007 American horror film directed by special effects artist Robert Kurtzman, known for its gruesome practical effects and over-the-top gore.
-
B.
Frenzy
Frenzy is a 1972 British thriller film directed by Alfred Hitchcock, known for its dark humor and disturbing portrayal of a serial killer in London.
-
C.
Rage
Rage is a post-apocalyptic first-person shooter video game developed by id Software, known for its advanced graphics technology and vehicular combat elements.
-
D.
Rage
Rage is a nonfiction book by investigative journalist Bob Woodward that examines the Trump presidency through interviews, insider accounts, and analysis of key events.
-
E.
Rage
Rage is a historical adventure novel by Wilbur Smith that continues the saga of the Courtney family against the backdrop of apartheid-era South Africa.
- 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: Rages Triple: [Rayy, hasAlternativeName, Rages]
Generated description
Rages is an alternative name for the figure or entity known as Rayy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rages Target entity description: Rages is an alternative name for the figure or entity known as Rayy.
-
A.
The Rage
The Rage is a 2007 American horror film directed by special effects artist Robert Kurtzman, known for its gruesome practical effects and over-the-top gore.
-
B.
Frenzy
Frenzy is a 1972 British thriller film directed by Alfred Hitchcock, known for its dark humor and disturbing portrayal of a serial killer in London.
-
C.
Rage
Rage is a post-apocalyptic first-person shooter video game developed by id Software, known for its advanced graphics technology and vehicular combat elements.
-
D.
Rage
Rage is a nonfiction book by investigative journalist Bob Woodward that examines the Trump presidency through interviews, insider accounts, and analysis of key events.
-
E.
Rage
Rage is a historical adventure novel by Wilbur Smith that continues the saga of the Courtney family against the backdrop of apartheid-era South Africa.
- 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_69b3453c2a0c8190926b574c90766db9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3554fb28081909018eaecc0c5c230 |
completed | March 13, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f633a69c8190b062c2a78b0f8319 |
completed | March 14, 2026, 11:58 p.m. |
| NEDg | Description generation | batch_69b5f6bcfa0481909d07ffb2a975a350 |
completed | March 15, 2026, 12:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5f733c660819081c68dc3ec342e12 |
completed | March 15, 2026, 12:02 a.m. |
Created at: March 12, 2026, 11:30 p.m.