Triple
T12531230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bad Sisters |
E299567
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object |
Clan
Clan is a Belgian black comedy television series that follows five sisters plotting to murder their abusive brother-in-law.
|
E988407
|
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: Clan | Statement: [Bad Sisters, basedOn, Clan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clan Context triple: [Bad Sisters, basedOn, Clan]
-
A.
Clans
Clans is a small rural commune in the Alpes-Maritimes department of southeastern France, known for its traditional Provençal character and mountainous surroundings.
-
B.
Klanen
Klanen is the main organized supporters’ group of Norwegian football club Vålerenga, known for its passionate fan culture and vocal backing at matches.
-
C.
Crooklyn Clan
Crooklyn Clan is a New York-based DJ and production duo known for their high-energy party breaks and club anthems in the hip-hop and dance music scenes.
-
D.
Inghi clan
The Inghi clan is a fictional group or faction associated with the character or entity Teron, likely within a fantasy or speculative setting.
-
E.
Poison Clan
Poison Clan is an American hip hop group from Miami known for their influential role in the Miami bass scene and their explicit, bass-heavy party tracks of the late 1980s and early 1990s.
- 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: Clan Triple: [Bad Sisters, basedOn, Clan]
Generated description
Clan is a Belgian black comedy television series that follows five sisters plotting to murder their abusive brother-in-law.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Clan Target entity description: Clan is a Belgian black comedy television series that follows five sisters plotting to murder their abusive brother-in-law.
-
A.
Clans
Clans is a small rural commune in the Alpes-Maritimes department of southeastern France, known for its traditional Provençal character and mountainous surroundings.
-
B.
Klanen
Klanen is the main organized supporters’ group of Norwegian football club Vålerenga, known for its passionate fan culture and vocal backing at matches.
-
C.
Crooklyn Clan
Crooklyn Clan is a New York-based DJ and production duo known for their high-energy party breaks and club anthems in the hip-hop and dance music scenes.
-
D.
Inghi clan
The Inghi clan is a fictional group or faction associated with the character or entity Teron, likely within a fantasy or speculative setting.
-
E.
Poison Clan
Poison Clan is an American hip hop group from Miami known for their influential role in the Miami bass scene and their explicit, bass-heavy party tracks of the late 1980s and early 1990s.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95469d100819087c83bc55e3ec9ce |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bc8866c81908821525b595715e2 |
completed | May 2, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69f64da25bf88190889273bf41e2f154 |
completed | May 2, 2026, 7:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f65213ed84819086fda178aaf9e774 |
completed | May 2, 2026, 7:35 p.m. |
Created at: April 8, 2026, 9:57 p.m.