Triple
T9116114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sauron |
E218722
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Annatar
Annatar is the fair and deceptive guise adopted by Sauron in the Second Age to seduce the Elves of Eregion and manipulate the forging of the Rings of Power.
|
E779755
|
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: Annatar | Statement: [Sauron, alsoKnownAs, Annatar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Annatar Context triple: [Sauron, alsoKnownAs, Annatar]
-
A.
Auron
Auron is a river in central France that flows through the Cher department and joins the Yèvre near the city of Bourges.
-
B.
Auron
Auron is a French ski resort village in the southern Alps known for its extensive slopes and proximity to Nice.
-
C.
Atreyu
Atreyu is the brave young warrior from the fantasy film "The NeverEnding Story," tasked with saving the magical realm of Fantasia from a consuming force called the Nothing.
-
D.
Ilmandu
Ilmandu is a small village in northern Estonia that forms part of Harku Parish near the capital city, Tallinn.
-
E.
Gariadhar
Gariadhar is a town in the Bhavnagar district of Gujarat, India, known for its local markets and regional cultural significance.
- 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: Annatar Triple: [Sauron, alsoKnownAs, Annatar]
Generated description
Annatar is the fair and deceptive guise adopted by Sauron in the Second Age to seduce the Elves of Eregion and manipulate the forging of the Rings of Power.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Annatar Target entity description: Annatar is the fair and deceptive guise adopted by Sauron in the Second Age to seduce the Elves of Eregion and manipulate the forging of the Rings of Power.
-
A.
Auron
Auron is a river in central France that flows through the Cher department and joins the Yèvre near the city of Bourges.
-
B.
Auron
Auron is a French ski resort village in the southern Alps known for its extensive slopes and proximity to Nice.
-
C.
Atreyu
Atreyu is the brave young warrior from the fantasy film "The NeverEnding Story," tasked with saving the magical realm of Fantasia from a consuming force called the Nothing.
-
D.
Ilmandu
Ilmandu is a small village in northern Estonia that forms part of Harku Parish near the capital city, Tallinn.
-
E.
Gariadhar
Gariadhar is a town in the Bhavnagar district of Gujarat, India, known for its local markets and regional cultural significance.
- 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_69ca83dc94ac8190b9ef42684d36ff39 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8a4c9e08190ba3603a5d00afb20 |
completed | April 1, 2026, 5:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0307299ec8190acade4f388642e23 |
completed | April 3, 2026, 9:26 p.m. |
| NEDg | Description generation | batch_69d034941af48190b612bdeb4e2a1648 |
completed | April 3, 2026, 9:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d035250d1481908a7a0e108360192e |
completed | April 3, 2026, 9:46 p.m. |
Created at: March 30, 2026, 7:16 p.m.