Triple
T10565831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ghazan |
E249346
|
entity |
| Predicate | predecessor |
P97
|
FINISHED |
| Object |
Baydu
Baydu was a short-reigning Ilkhanid ruler of Persia in 1295, whose brief tenure ended when he was overthrown by his cousin Ghazan.
|
E870716
|
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: Baydu | Statement: [Ghazan, predecessor, Baydu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baydu Context triple: [Ghazan, predecessor, Baydu]
-
A.
Bernie
Bernie is a common diminutive form of the given name Bernard, often used as a familiar or informal nickname.
-
B.
Weiner
Weiner is a surname of Germanic origin borne by various notable individuals across fields such as business, politics, and entertainment.
-
C.
The Harris
The Harris is a prominent cultural institution in Preston, England, housing an art gallery, museum, and public library within a historic landmark building.
-
D.
Perry
Perry is the central character in the film "Makers," around whom the story’s main events and themes revolve.
-
E.
Perry
Perry is a small rural town located in Dane County, Wisconsin, known for its agricultural landscape and quiet residential character.
- 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: Baydu Triple: [Ghazan, predecessor, Baydu]
Generated description
Baydu was a short-reigning Ilkhanid ruler of Persia in 1295, whose brief tenure ended when he was overthrown by his cousin Ghazan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Baydu Target entity description: Baydu was a short-reigning Ilkhanid ruler of Persia in 1295, whose brief tenure ended when he was overthrown by his cousin Ghazan.
-
A.
Bernie
Bernie is a common diminutive form of the given name Bernard, often used as a familiar or informal nickname.
-
B.
Weiner
Weiner is a surname of Germanic origin borne by various notable individuals across fields such as business, politics, and entertainment.
-
C.
The Harris
The Harris is a prominent cultural institution in Preston, England, housing an art gallery, museum, and public library within a historic landmark building.
-
D.
Perry
Perry is the central character in the film "Makers," around whom the story’s main events and themes revolve.
-
E.
Perry
Perry is a small city in central Iowa known historically as a railroad and agricultural community.
- 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5272ce78c8190bf3227053ef88a48 |
completed | April 7, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9349bb7748190b5afb492e78d1128 |
completed | April 10, 2026, 5:34 p.m. |
| NEDg | Description generation | batch_69d938050a74819080eb7d579b18bf75 |
completed | April 10, 2026, 5:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d939014d948190811a5fab0de9c91b |
completed | April 10, 2026, 5:53 p.m. |
Created at: April 6, 2026, 12:36 p.m.