Triple
T9741610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avenue 5 |
E236197
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Jordan Hatwal
Jordan Hatwal is a character on the sci-fi comedy television series "Avenue 5," which follows the misadventures aboard a space cruise ship.
|
E818844
|
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: Jordan Hatwal | Statement: [Avenue 5, character, Jordan Hatwal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jordan Hatwal Context triple: [Avenue 5, character, Jordan Hatwal]
-
A.
Baljeet Tjinder
Baljeet Tjinder is a studious, academically driven boy in the animated series "Phineas and Ferb," known for his intelligence, anxiety about grades, and frequent involvement in the protagonists’ inventions and adventures.
-
B.
Dillon Mitra
Dillon Mitra is an actor known for his role in the culinary drama film "The Hundred-Foot Journey."
-
C.
Jonathan Benassaya
Jonathan Benassaya is a French entrepreneur best known for co-founding the music streaming service Deezer.
-
D.
Warren Kumari
Warren Kumari is a network engineer and Internet standards contributor known for his work within the IETF and contributions to core Internet infrastructure specifications.
-
E.
Naveen Andrews
Naveen Andrews is a British actor best known for his roles in the television series "Lost" and films such as "The English Patient."
- 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: Jordan Hatwal Triple: [Avenue 5, character, Jordan Hatwal]
Generated description
Jordan Hatwal is a character on the sci-fi comedy television series "Avenue 5," which follows the misadventures aboard a space cruise ship.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jordan Hatwal Target entity description: Jordan Hatwal is a character on the sci-fi comedy television series "Avenue 5," which follows the misadventures aboard a space cruise ship.
-
A.
Baljeet Tjinder
Baljeet Tjinder is a studious, academically driven boy in the animated series "Phineas and Ferb," known for his intelligence, anxiety about grades, and frequent involvement in the protagonists’ inventions and adventures.
-
B.
Dillon Mitra
Dillon Mitra is an actor known for his role in the culinary drama film "The Hundred-Foot Journey."
-
C.
Jonathan Benassaya
Jonathan Benassaya is a French entrepreneur best known for co-founding the music streaming service Deezer.
-
D.
Warren Kumari
Warren Kumari is a network engineer and Internet standards contributor known for his work within the IETF and contributions to core Internet infrastructure specifications.
-
E.
Naveen Andrews
Naveen Andrews is a British actor best known for his roles in the television series "Lost" and films such as "The English Patient."
- 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_69ca84d3e24481908a476e2231123cf9 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9f2af3e48190b83a442cd0e84062 |
completed | April 1, 2026, 10:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1aff2339c8190b164b13b54a40cec |
completed | April 5, 2026, 12:42 a.m. |
| NEDg | Description generation | batch_69d1b08ba1f48190830852f9d60e3368 |
completed | April 5, 2026, 12:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1b124659481909e7a2ecaf01d8a50 |
completed | April 5, 2026, 12:47 a.m. |
Created at: March 30, 2026, 8:23 p.m.