Triple
T2102099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enlil |
E37112
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object |
An
An is the ancient Mesopotamian sky god and supreme deity of the Sumerian pantheon, often regarded as the divine authority from which other gods derive their power.
|
E233609
|
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: An | Statement: [Enlil, parent, An]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: An Context triple: [Enlil, parent, An]
-
A.
AN
AN is the vehicle registration code used on license plates for the Ansbach district in the Middle Franconia region of Bavaria, Germany.
-
B.
Al
Al is a common shortened form of given names such as Albert, Alan, or Alexander.
-
C.
ANE
ANE is Apple's dedicated on-device neural processing unit designed to accelerate machine learning tasks efficiently on Apple hardware.
-
D.
ANA
ANA is the commonly used abbreviation for the Afghan National Army, the former main land warfare branch of Afghanistan’s armed forces.
-
E.
ANA
ANA is the standard three-letter abbreviation used for the Anaheim Ducks, a professional ice hockey team in the National Hockey League.
- 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: An Triple: [Enlil, parent, An]
Generated description
An is the ancient Mesopotamian sky god and supreme deity of the Sumerian pantheon, often regarded as the divine authority from which other gods derive their power.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: An Target entity description: An is the ancient Mesopotamian sky god and supreme deity of the Sumerian pantheon, often regarded as the divine authority from which other gods derive their power.
-
A.
AN
AN is the vehicle registration code used on license plates for the Ansbach district in the Middle Franconia region of Bavaria, Germany.
-
B.
Al
Al is a common shortened form of given names such as Albert, Alan, or Alexander.
-
C.
ANE
ANE is Apple's dedicated on-device neural processing unit designed to accelerate machine learning tasks efficiently on Apple hardware.
-
D.
ANA
ANA is the commonly used abbreviation for the Afghan National Army, the former main land warfare branch of Afghanistan’s armed forces.
-
E.
ANA
ANA is the standard three-letter abbreviation used for the Anaheim Ducks, a professional ice hockey team in the National Hockey League.
- 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_69a8861828948190924aa30c08806b3a |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abbabc83a8819091f786f21d33b5a6 |
completed | March 7, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae3068189c81909cf76fd1fc2a0fe6 |
completed | March 9, 2026, 2:28 a.m. |
| NEDg | Description generation | batch_69ae30f84d548190b2d99162471207a4 |
completed | March 9, 2026, 2:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae317473408190ad67374cfb82a7db |
completed | March 9, 2026, 2:33 a.m. |
Created at: March 4, 2026, 7:43 p.m.