Triple
T8266089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suppiluliuma I |
E193304
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Zannanza
Zannanza was a Hittite prince, best known for his ill-fated journey to marry the Egyptian widow-queen that sparked a major diplomatic crisis between the Hittite and Egyptian empires.
|
E722616
|
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: Zannanza | Statement: [Suppiluliuma I, child, Zannanza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zannanza Context triple: [Suppiluliuma I, child, Zannanza]
-
A.
Dainzú
Dainzú is an ancient Zapotec archaeological site in Oaxaca, Mexico, notable for its terraced architecture and carved stone reliefs depicting ballgame scenes.
-
B.
Teroenza
Teroenza is a character in the Star Wars universe known for being one of the earlier owners of the iconic starship Millennium Falcon.
-
C.
Monsula
Monsula was an East Bay punk rock band active in the late 1980s and early 1990s, known for its melodic, politically charged sound within the Gilman Street scene.
-
D.
Unzaga
Unzaga is a Spanish surname historically associated with families of Basque origin and notable figures in Spain and Latin America.
-
E.
Isanzu
Isanzu is a Bantu language spoken by the Isanzu people of north-central Tanzania.
- 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: Zannanza Triple: [Suppiluliuma I, child, Zannanza]
Generated description
Zannanza was a Hittite prince, best known for his ill-fated journey to marry the Egyptian widow-queen that sparked a major diplomatic crisis between the Hittite and Egyptian empires.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zannanza Target entity description: Zannanza was a Hittite prince, best known for his ill-fated journey to marry the Egyptian widow-queen that sparked a major diplomatic crisis between the Hittite and Egyptian empires.
-
A.
Dainzú
Dainzú is an ancient Zapotec archaeological site in Oaxaca, Mexico, notable for its terraced architecture and carved stone reliefs depicting ballgame scenes.
-
B.
Teroenza
Teroenza is a character in the Star Wars universe known for being one of the earlier owners of the iconic starship Millennium Falcon.
-
C.
Monsula
Monsula was an East Bay punk rock band active in the late 1980s and early 1990s, known for its melodic, politically charged sound within the Gilman Street scene.
-
D.
Unzaga
Unzaga is a Spanish surname historically associated with families of Basque origin and notable figures in Spain and Latin America.
-
E.
Isanzu
Isanzu is a Bantu language spoken by the Isanzu people of north-central Tanzania.
- 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_69ca82e081d48190986beaa51f498ab9 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb794c54448190a685b8d0070980d7 |
completed | March 31, 2026, 7:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd6827e44c81909be6e426ab9226c7 |
completed | April 1, 2026, 6:47 p.m. |
| NEDg | Description generation | batch_69cd6d4fa17481909f28ad7eb9bceb42 |
completed | April 1, 2026, 7:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd7df568788190a5a219baa65a6a19 |
completed | April 1, 2026, 8:20 p.m. |
Created at: March 30, 2026, 5:50 p.m.