Triple
T6962844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moth Smoke |
E161414
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Ozi
Ozi is a central character in Mohsin Hamid’s novel "Moth Smoke," depicted as a wealthy, privileged banker whose life contrasts sharply with that of the struggling protagonist.
|
E630513
|
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: Ozi | Statement: [Moth Smoke, hasCharacter, Ozi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ozi Context triple: [Moth Smoke, hasCharacter, Ozi]
-
A.
Oizys
Oizys is the Greek personification of misery, distress, and wretchedness, traditionally regarded as a dark and sorrowful deity.
-
B.
Ozian
Ozian refers to a fictional inhabitant of the Land of Oz, the magical realm featured in L. Frank Baum’s Oz book series.
-
C.
Oghi
Oghi is a town in Pakistan's Khyber Pakhtunkhwa province, known as a local administrative and commercial center within the Hazara region.
-
D.
Ogi
Ogi was a former municipality on Sado Island in Niigata Prefecture, Japan, known for its coastal setting and later incorporation into the city of Sado.
-
E.
OZ
OZ is the IATA airline designator assigned to Asiana Airlines, a major South Korean carrier based in Seoul.
- 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: Ozi Triple: [Moth Smoke, hasCharacter, Ozi]
Generated description
Ozi is a central character in Mohsin Hamid’s novel "Moth Smoke," depicted as a wealthy, privileged banker whose life contrasts sharply with that of the struggling protagonist.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ozi Target entity description: Ozi is a central character in Mohsin Hamid’s novel "Moth Smoke," depicted as a wealthy, privileged banker whose life contrasts sharply with that of the struggling protagonist.
-
A.
Oizys
Oizys is the Greek personification of misery, distress, and wretchedness, traditionally regarded as a dark and sorrowful deity.
-
B.
Ozian
Ozian refers to a fictional inhabitant of the Land of Oz, the magical realm featured in L. Frank Baum’s Oz book series.
-
C.
Oghi
Oghi is a town in Pakistan's Khyber Pakhtunkhwa province, known as a local administrative and commercial center within the Hazara region.
-
D.
Ogi
Ogi was a former municipality on Sado Island in Niigata Prefecture, Japan, known for its coastal setting and later incorporation into the city of Sado.
-
E.
OZ
OZ is the IATA airline designator assigned to Asiana Airlines, a major South Korean carrier based in Seoul.
- 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_69c68853cff881908439d488924a8283 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6daf197b0819085bd0433c8a7f716 |
completed | March 27, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7589c587c8190b97523b5ac2ab958 |
completed | March 28, 2026, 4:27 a.m. |
| NEDg | Description generation | batch_69c759553fe081909881c8d2ae680dfe |
completed | March 28, 2026, 4:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c759c79de48190bd3e079c07a9158a |
completed | March 28, 2026, 4:32 a.m. |
Created at: March 27, 2026, 2:30 p.m.