Triple
T12958860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love, Victor |
E310084
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Rahim
Rahim is a supporting character in the teen drama series "Love, Victor," contributing to the show's exploration of identity, relationships, and LGBTQ+ experiences.
|
E1013802
|
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: Rahim | Statement: [Love, Victor, hasCharacter, Rahim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rahim Context triple: [Love, Victor, hasCharacter, Rahim]
-
A.
Salim
Salim is a Palestinian village located in the Nablus Governorate in the northern West Bank.
-
B.
Salim
Salim was the birth name of Jahangir, the fourth Mughal emperor of India known for his patronage of the arts and consolidation of the empire.
-
C.
Rahman
Rahman is a Malaysian former badminton player best known as one of the Sidek brothers who were prominent in international doubles competition.
-
D.
Nasir
Nasir is a creative work associated with Wyoming Sessions, likely a music release or recording project.
-
E.
Rafiq
Rafiq was one of the prominent martyrs of the Bengali Language Movement in East Bengal, remembered for sacrificing his life in the struggle to establish Bangla as a state language.
- 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: Rahim Triple: [Love, Victor, hasCharacter, Rahim]
Generated description
Rahim is a supporting character in the teen drama series "Love, Victor," contributing to the show's exploration of identity, relationships, and LGBTQ+ experiences.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rahim Target entity description: Rahim is a supporting character in the teen drama series "Love, Victor," contributing to the show's exploration of identity, relationships, and LGBTQ+ experiences.
-
A.
Salim
Salim is a Palestinian village located in the Nablus Governorate in the northern West Bank.
-
B.
Salim
Salim was the birth name of Jahangir, the fourth Mughal emperor of India known for his patronage of the arts and consolidation of the empire.
-
C.
Rahman
Rahman is a Malaysian former badminton player best known as one of the Sidek brothers who were prominent in international doubles competition.
-
D.
Nasir
Nasir is a creative work associated with Wyoming Sessions, likely a music release or recording project.
-
E.
Rafiq
Rafiq was one of the prominent martyrs of the Bengali Language Movement in East Bengal, remembered for sacrificing his life in the struggle to establish Bangla as a state language.
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e2e44908190bb8b43fc5c3b8a8a |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8dddd80819094c80ef405024419 |
completed | May 3, 2026, 2:54 a.m. |
| NEDg | Description generation | batch_69f6ba0904e8819098bae29961bf0046 |
completed | May 3, 2026, 2:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6bb7a0ae08190813411fa677430aa |
completed | May 3, 2026, 3:05 a.m. |
Created at: April 9, 2026, 5:44 p.m.