Triple
T9889978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chang’e lunar exploration program |
E181427
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Chang’e
Chang’e is the moon goddess in Chinese mythology, known for living on the lunar surface after consuming an elixir of immortality.
|
E27944
|
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: Chang’e | Statement: [Chang’e lunar exploration program, namedAfter, Chang’e]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chang’e Context triple: [Chang’e lunar exploration program, namedAfter, Chang’e]
-
A.
Luna
Luna was an ancient Roman town in northern Italy that served as a key urban and commercial center for the Ligurian region.
-
B.
Luna
Luna is a Spanish surname most prominently associated with Mexican actor and filmmaker Diego Luna.
-
C.
Luna
Luna is the protagonist of the game "Lunar: The Silver Star," a classic Japanese role-playing game known for its character-driven story and fantasy adventure.
-
D.
Luna
Luna is the live wolf mascot that represents the University of Nevada's Wolf Pack football program.
-
E.
Luna
Luna is a magical flying jaquin who serves as one of Princess Elena’s loyal animal companions in the animated series "Elena of Avalor."
- 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: Chang’e Triple: [Chang’e lunar exploration program, namedAfter, Chang’e]
Generated description
Chang’e is the moon goddess in Chinese mythology, known for living on the lunar surface after consuming an elixir of immortality.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chang’e Target entity description: Chang’e is the moon goddess in Chinese mythology, known for living on the lunar surface after consuming an elixir of immortality.
-
A.
Luna
Luna was an ancient Roman town in northern Italy that served as a key urban and commercial center for the Ligurian region.
-
B.
Luna
Luna is the protagonist of the game "Lunar: The Silver Star," a classic Japanese role-playing game known for its character-driven story and fantasy adventure.
-
C.
Luna
chosen
Luna is the natural satellite of Earth, renowned for its phases, influence on tides, and prominence in human culture and mythology.
-
D.
Luna
Luna is a Spanish surname most prominently associated with Mexican actor and filmmaker Diego Luna.
-
E.
Luna
Luna is the live wolf mascot that represents the University of Nevada's Wolf Pack football program.
- F. None of above.
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_69ca8283a6708190801af7a25a7ebb9f |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb47dfa908190884e96e5e5d6f41f |
completed | April 2, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1eb08075c81908e017df8048daba8 |
completed | April 5, 2026, 4:54 a.m. |
| NEDg | Description generation | batch_69d1eca8703c8190a473fdafa2a2d273 |
completed | April 5, 2026, 5:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1ed2a1318819087a5b787724fa10c |
completed | April 5, 2026, 5:03 a.m. |
Created at: March 30, 2026, 8:39 p.m.