Triple
T3486084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Justin Bieber |
E73608
|
entity |
| Predicate | hasFanBase |
P897
|
FINISHED |
| Object |
Beliebers
Beliebers are the devoted global fanbase of pop singer Justin Bieber, known for their intense loyalty and active presence on social media.
|
E361205
|
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: Beliebers | Statement: [Justin Bieber, hasFanBase, Beliebers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beliebers Context triple: [Justin Bieber, hasFanBase, Beliebers]
-
A.
Seventeen
Seventeen is a popular South Korean boy group known for their synchronized performances, self-produced music, and large multi-unit lineup.
-
B.
Britney Army
Britney Army is the dedicated global fan community devoted to supporting and celebrating pop icon Britney Spears.
-
C.
BTS
The Bureau of Transportation Statistics (BTS) is a U.S. federal agency that compiles, analyzes, and publishes data on the nation’s transportation systems to inform policy and decision-making.
-
D.
BTS
BTS is the IATA airport code for M. R. Štefánik Airport, the main international airport serving Bratislava, Slovakia.
-
E.
Frikes
Frikes is a small coastal village and fishing harbor on the Greek island of Ithaca, known for its traditional tavernas and scenic bay.
- 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: Beliebers Triple: [Justin Bieber, hasFanBase, Beliebers]
Generated description
Beliebers are the devoted global fanbase of pop singer Justin Bieber, known for their intense loyalty and active presence on social media.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beliebers Target entity description: Beliebers are the devoted global fanbase of pop singer Justin Bieber, known for their intense loyalty and active presence on social media.
-
A.
Seventeen
Seventeen is a popular South Korean boy group known for their synchronized performances, self-produced music, and large multi-unit lineup.
-
B.
Britney Army
Britney Army is the dedicated global fan community devoted to supporting and celebrating pop icon Britney Spears.
-
C.
BTS
The Bureau of Transportation Statistics (BTS) is a U.S. federal agency that compiles, analyzes, and publishes data on the nation’s transportation systems to inform policy and decision-making.
-
D.
BTS
BTS is the IATA airport code for M. R. Štefánik Airport, the main international airport serving Bratislava, Slovakia.
-
E.
Frikes
Frikes is a small coastal village and fishing harbor on the Greek island of Ithaca, known for its traditional tavernas and scenic bay.
- 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_69ad85cca8d4819088494e9f3340fab5 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbb8f205c8190aa6f7484ebad14bb |
completed | March 8, 2026, 6:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b368248f9c81908a1905a705e57c53 |
completed | March 13, 2026, 1:28 a.m. |
| NEDg | Description generation | batch_69b36a2231008190820b0c50ad2d661a |
completed | March 13, 2026, 1:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b36a8dae1481908b10a966ebcf89b2 |
completed | March 13, 2026, 1:38 a.m. |
Created at: March 8, 2026, 3:18 p.m.