Triple
T14418381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great News |
E357515
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Justin
Justin is the central protagonist of the television sitcom "Great News," around whom the show's primary storylines and character dynamics revolve.
|
E1098676
|
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: Justin | Statement: [Great News, mainCharacter, Justin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Justin Context triple: [Great News, mainCharacter, Justin]
-
A.
Justin
Justin is a character in the novel "Falling Man," which explores the aftermath of the September 11 attacks and their impact on personal and collective identity.
-
B.
Justin
Justin is a central character in the 1997 science fiction horror film "Event Horizon," serving as one of the crew members who experiences the ship’s disturbing and reality-warping effects.
-
C.
Justin
Justin is the first name of J. J. Watt, the prominent American football defensive end known for his standout NFL career with the Houston Texans.
-
D.
Justin
Justin is a small suburban town within the Dallas–Fort Worth metropolitan area in Texas.
-
E.
Justin
Justin was a Roman historian and epitomator best known for his abridged version of Pompeius Trogus’s universal history, which includes accounts of famous legends such as the Gordian Knot.
- 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: Justin Triple: [Great News, mainCharacter, Justin]
Generated description
Justin is the central protagonist of the television sitcom "Great News," around whom the show's primary storylines and character dynamics revolve.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Justin Target entity description: Justin is the central protagonist of the television sitcom "Great News," around whom the show's primary storylines and character dynamics revolve.
-
A.
Justin
Justin is the given name of Brother Justin Crowe, a central character in the television series "Carnivàle."
-
B.
Justin
Justin is the first name of J. J. Watt, the prominent American football defensive end known for his standout NFL career with the Houston Texans.
-
C.
Justin
Justin is the given name of Justin Trudeau, the 23rd prime minister of Canada and leader of the Liberal Party.
-
D.
Justin
Justin is a character in the novel "Falling Man," which explores the aftermath of the September 11 attacks and their impact on personal and collective identity.
-
E.
Justin
Justin is the given first name of the American theater critic and journalist Brooks Atkinson.
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90cec8e4819087c72d82f9caacda |
completed | April 14, 2026, 7:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bc961c48190b67dceb2f07977fd |
completed | May 8, 2026, 3:43 a.m. |
| NEDg | Description generation | batch_69fd5d078b8081908810acb77be74b2b |
completed | May 8, 2026, 3:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd5d7e07a08190be5154674f7478fb |
completed | May 8, 2026, 3:50 a.m. |
Created at: April 10, 2026, 1:17 a.m.