Triple
T15004484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | administration of Akbar |
E377673
|
entity |
| Predicate | office |
P3103
|
FINISHED |
| Object |
Mir Saman
Mir Saman was a high-ranking Mughal official who served as a key administrator under Emperor Akbar.
|
E1132054
|
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: Mir Saman | Statement: [administration of Akbar, office, Mir Saman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mir Saman Context triple: [administration of Akbar, office, Mir Saman]
-
A.
Samu
Samu is a given name, commonly used as a short form or variant of Samuel in various cultures.
-
B.
Laksamana
Laksamana is a prominent heroic figure in Malay literary tradition, often depicted as a loyal and valiant warrior and royal commander.
-
C.
Esse Baharmast
Esse Baharmast is a former American soccer referee known for officiating at the highest levels of the sport, including Major League Soccer and the FIFA World Cup.
-
D.
Sama
Sama is an Austronesian language spoken by the Sama-Bajau people of the southern Philippines and parts of Malaysia and Indonesia.
-
E.
Sama
Sama is a town in northern Spain’s Asturias region, situated in the Nalón River valley and known historically for its coal-mining and industrial heritage.
- 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: Mir Saman Triple: [administration of Akbar, office, Mir Saman]
Generated description
Mir Saman was a high-ranking Mughal official who served as a key administrator under Emperor Akbar.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mir Saman Target entity description: Mir Saman was a high-ranking Mughal official who served as a key administrator under Emperor Akbar.
-
A.
Samu
Samu is a given name, commonly used as a short form or variant of Samuel in various cultures.
-
B.
Laksamana
Laksamana is a prominent heroic figure in Malay literary tradition, often depicted as a loyal and valiant warrior and royal commander.
-
C.
Esse Baharmast
Esse Baharmast is a former American soccer referee known for officiating at the highest levels of the sport, including Major League Soccer and the FIFA World Cup.
-
D.
Sama
Sama is a town in northern Spain’s Asturias region, situated in the Nalón River valley and known historically for its coal-mining and industrial heritage.
-
E.
Sama
Sama is an Austronesian language spoken by the Sama-Bajau people of the southern Philippines and parts of Malaysia and Indonesia.
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7322b5c81909089cbbf816e1436 |
completed | April 15, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe96a04eec8190b347bf3637aba0bc |
completed | May 9, 2026, 2:06 a.m. |
| NEDg | Description generation | batch_69fe98e182708190a013511c32d33315 |
completed | May 9, 2026, 2:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe9a48e85081909d70d8f44e3a54d7 |
completed | May 9, 2026, 2:22 a.m. |
Created at: April 10, 2026, 2:54 a.m.