Triple
T3621535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zoolander |
E76737
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Mugatu
Mugatu is the flamboyant, villainous fashion designer portrayed by Will Ferrell in the comedy film "Zoolander."
|
E372945
|
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: Mugatu | Statement: [Zoolander, character, Mugatu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mugatu Context triple: [Zoolander, character, Mugatu]
-
A.
Kungara
Kungara is an alternative name for the Fur language, a Nilo-Saharan language spoken primarily by the Fur people of western Sudan.
-
B.
Murambi
Murambi is a residential suburb of Mutare, a major city in eastern Zimbabwe.
-
C.
Mutasa
Mutasa is a town located in Zimbabwe’s eastern Manicaland Province, known for its rural communities and proximity to the Eastern Highlands.
-
D.
Gugino
Gugino is the surname of American actress Carla Gugino, known for her versatile roles in film and television.
-
E.
Mukuzani
Mukuzani is a renowned Georgian red wine appellation known for producing dry, oak-aged wines from the Saperavi grape in the Kakheti region.
- 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: Mugatu Triple: [Zoolander, character, Mugatu]
Generated description
Mugatu is the flamboyant, villainous fashion designer portrayed by Will Ferrell in the comedy film "Zoolander."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mugatu Target entity description: Mugatu is the flamboyant, villainous fashion designer portrayed by Will Ferrell in the comedy film "Zoolander."
-
A.
Kungara
Kungara is an alternative name for the Fur language, a Nilo-Saharan language spoken primarily by the Fur people of western Sudan.
-
B.
Murambi
Murambi is a residential suburb of Mutare, a major city in eastern Zimbabwe.
-
C.
Mutasa
Mutasa is a town located in Zimbabwe’s eastern Manicaland Province, known for its rural communities and proximity to the Eastern Highlands.
-
D.
Gugino
Gugino is the surname of American actress Carla Gugino, known for her versatile roles in film and television.
-
E.
Mukuzani
Mukuzani is a renowned Georgian red wine appellation known for producing dry, oak-aged wines from the Saperavi grape in the Kakheti region.
- 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_69ad85dae2fc81908d1ceadbc6af0089 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc2bb12cc8190bd67597cf3b66a3a |
completed | March 8, 2026, 6:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4331e75d08190ad1ce3e7ef26454a |
completed | March 13, 2026, 3:54 p.m. |
| NEDg | Description generation | batch_69b436140e9c81909c0616e6fce36c2b |
completed | March 13, 2026, 4:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b439c83580819091024e692847a7db |
completed | March 13, 2026, 4:22 p.m. |
Created at: March 8, 2026, 3:23 p.m.