Triple
T13902679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rudge |
E334264
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object |
Akthar
Akthar is an individual or entity known primarily through an association with Rudge, likely within a shared professional, academic, or organizational context.
|
E1068759
|
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: Akthar | Statement: [Rudge, associatedWith, Akthar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Akthar Context triple: [Rudge, associatedWith, Akthar]
-
A.
Naseeb Arida
Naseeb Arida was a Syrian-Lebanese poet and writer associated with the early 20th-century Arab literary diaspora in the Americas.
-
B.
Taher
Taher is a town and commune in northeastern Algeria, serving as an important local center within Jijel Province.
-
C.
Alif Khan
Alif Khan was a Mughal military commander noted for leading imperial forces in the Battle of Nadaun against regional hill chiefs.
-
D.
Mirza
Mirza is a historical noble title of Persian and Central Asian origin, commonly borne by princes and high-ranking members of royal and aristocratic families.
-
E.
Jaffar
Jaffar is the sinister vizier and main antagonist portrayed by Conrad Veidt in the 1940 fantasy film "The Thief of Bagdad."
- 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: Akthar Triple: [Rudge, associatedWith, Akthar]
Generated description
Akthar is an individual or entity known primarily through an association with Rudge, likely within a shared professional, academic, or organizational context.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Akthar Target entity description: Akthar is an individual or entity known primarily through an association with Rudge, likely within a shared professional, academic, or organizational context.
-
A.
Naseeb Arida
Naseeb Arida was a Syrian-Lebanese poet and writer associated with the early 20th-century Arab literary diaspora in the Americas.
-
B.
Taher
Taher is a town and commune in northeastern Algeria, serving as an important local center within Jijel Province.
-
C.
Alif Khan
Alif Khan was a Mughal military commander noted for leading imperial forces in the Battle of Nadaun against regional hill chiefs.
-
D.
Mirza
Mirza is a historical noble title of Persian and Central Asian origin, commonly borne by princes and high-ranking members of royal and aristocratic families.
-
E.
Jaffar
Jaffar is the sinister vizier and main antagonist portrayed by Conrad Veidt in the 1940 fantasy film "The Thief of Bagdad."
- 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_69d81c5eaa9c819083b1ff8689179565 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de25d9c7a48190ad8fb0ca676f4f7b |
completed | April 14, 2026, 11:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c722e72081909090b2d64000ebd9 |
completed | May 3, 2026, 10:07 p.m. |
| NEDg | Description generation | batch_69f7c83a3e04819097b6e0b5a3161b9a |
completed | May 3, 2026, 10:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7c9732d188190a8a7151d21e0a310 |
completed | May 3, 2026, 10:17 p.m. |
Created at: April 9, 2026, 10:16 p.m.