Triple
T7552352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 18-Rabbit |
E178567
|
entity |
| Predicate | predecessor |
P97
|
FINISHED |
| Object |
Smoke Imix
Smoke Imix was a ruler of the ancient Maya city-state of Copán, known from its dynastic inscriptions and association with the kingdom’s royal lineage.
|
E671723
|
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: Smoke Imix | Statement: [18-Rabbit, predecessor, Smoke Imix]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Smoke Imix Context triple: [18-Rabbit, predecessor, Smoke Imix]
-
A.
The Smoke
The Smoke is the English name of Surah Ad-Dukhan, a chapter of the Qur’an that warns of a coming smoke as a sign of divine punishment and emphasizes God’s power and mercy.
-
B.
The Smoke
The Smoke is a dramatic work by British playwright Lucy Kirkwood, known for her sharp, socially engaged storytelling.
-
C.
The Smoke
The Smoke is a British television drama series centered on the lives and challenges of London firefighters.
-
D.
Smoke Break
"Smoke Break" is a reflective, soulful track by Chance the Rapper that appears on his acclaimed mixtape "Coloring Book."
-
E.
Jimo
Jimo is a county-level city under the administration of Qingdao in eastern China's Shandong Province, known for its historical heritage and rapidly developing economy.
- 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: Smoke Imix Triple: [18-Rabbit, predecessor, Smoke Imix]
Generated description
Smoke Imix was a ruler of the ancient Maya city-state of Copán, known from its dynastic inscriptions and association with the kingdom’s royal lineage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Smoke Imix Target entity description: Smoke Imix was a ruler of the ancient Maya city-state of Copán, known from its dynastic inscriptions and association with the kingdom’s royal lineage.
-
A.
The Smoke
The Smoke is the English name of Surah Ad-Dukhan, a chapter of the Qur’an that warns of a coming smoke as a sign of divine punishment and emphasizes God’s power and mercy.
-
B.
The Smoke
The Smoke is a dramatic work by British playwright Lucy Kirkwood, known for her sharp, socially engaged storytelling.
-
C.
The Smoke
The Smoke is a British television drama series centered on the lives and challenges of London firefighters.
-
D.
Smoke Break
"Smoke Break" is a reflective, soulful track by Chance the Rapper that appears on his acclaimed mixtape "Coloring Book."
-
E.
Jimo
Jimo is a county-level city under the administration of Qingdao in eastern China's Shandong Province, known for its historical heritage and rapidly developing economy.
- 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_69c69f2cbe08819088f9eb0c03ef529b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8b6c6488190b8fd94aca6ea8486 |
completed | March 27, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84f33c968819089fd0a2b07b076a3 |
completed | March 28, 2026, 9:59 p.m. |
| NEDg | Description generation | batch_69c84fb8382881909f29472230550aff |
completed | March 28, 2026, 10:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c850327c8c81908c3e1ccf58b5bd74 |
completed | March 28, 2026, 10:03 p.m. |
Created at: March 27, 2026, 3:49 p.m.