Triple
T15355787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lego Bionicle |
E367166
|
entity |
| Predicate | themeOf |
P380
|
FINISHED |
| Object |
Rahi
Rahi are the diverse creatures and beasts that inhabit the Bionicle universe, often serving as wildlife, guardians, or threats within its storyline.
|
E1151143
|
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: Rahi | Statement: [Lego Bionicle, themeOf, Rahi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rahi Context triple: [Lego Bionicle, themeOf, Rahi]
-
A.
Seereer
Seereer is the endonym for the Serer language, a Niger-Congo language spoken primarily by the Serer people of Senegal, the Gambia, and Mauritania.
-
B.
Sagara
Sagara is a town in the Shivamogga district of Karnataka, India, known for its proximity to Jog Falls and the Western Ghats.
-
C.
Taramani
Taramani is a neighborhood in Chennai, India, known for its educational institutions, research centers, and growing IT and technology hubs.
-
D.
Saaransh
Saaransh is a critically acclaimed 1984 Hindi drama film, best known for featuring Anupam Kher in a powerful early lead role as an elderly father coping with loss.
-
E.
Mahim
Mahim is a historic coastal neighborhood in Mumbai, India, known for its centuries-old fort, prominent religious sites, and role as one of the original seven islands that formed the city.
- 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: Rahi Triple: [Lego Bionicle, themeOf, Rahi]
Generated description
Rahi are the diverse creatures and beasts that inhabit the Bionicle universe, often serving as wildlife, guardians, or threats within its storyline.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rahi Target entity description: Rahi are the diverse creatures and beasts that inhabit the Bionicle universe, often serving as wildlife, guardians, or threats within its storyline.
-
A.
Seereer
Seereer is the endonym for the Serer language, a Niger-Congo language spoken primarily by the Serer people of Senegal, the Gambia, and Mauritania.
-
B.
Sagara
Sagara is a town in the Shivamogga district of Karnataka, India, known for its proximity to Jog Falls and the Western Ghats.
-
C.
Taramani
Taramani is a neighborhood in Chennai, India, known for its educational institutions, research centers, and growing IT and technology hubs.
-
D.
Saaransh
Saaransh is a critically acclaimed 1984 Hindi drama film, best known for featuring Anupam Kher in a powerful early lead role as an elderly father coping with loss.
-
E.
Mahim
Mahim is a historic coastal neighborhood in Mumbai, India, known for its centuries-old fort, prominent religious sites, and role as one of the original seven islands that formed the city.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e2c00648190ae2325e1ee58dcfd |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff02012fa48190a108f1ca710ffb15 |
completed | May 9, 2026, 9:44 a.m. |
| NEDg | Description generation | batch_69ff02d0d0188190b6414a52bf8e6e54 |
completed | May 9, 2026, 9:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff037ddf1c8190b7c93c1b3edf33e8 |
completed | May 9, 2026, 9:50 a.m. |
Created at: April 10, 2026, 3:18 a.m.