Triple
T4681721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anubis |
E103817
|
entity |
| Predicate | egyptianName |
P8488
|
FINISHED |
| Object |
Anpu
Anpu is the ancient Egyptian name for Anubis, the jackal-headed god associated with mummification and the protection of the dead.
|
E461470
|
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: Anpu | Statement: [Anubis, egyptianName, Anpu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anpu Context triple: [Anubis, egyptianName, Anpu]
-
A.
Shapash
Shapash is the Phoenician sun goddess, often depicted as a powerful celestial deity associated with light, justice, and guidance among the gods and humans.
-
B.
Nunki
Nunki is a prominent blue-white star in the constellation Sagittarius, known as one of its brightest and most easily recognizable members.
-
C.
Khnum
Khnum is an ancient Egyptian ram-headed god associated with the Nile’s inundation, creation, and the molding of human beings on a potter’s wheel.
-
D.
Kamsa
Kamsa is a tyrannical king in Hindu mythology, best known as the evil uncle and nemesis of Lord Krishna.
-
E.
Hamutal
Hamutal was a queen of Judah, known as the mother of the last king of Judah, Zedekiah, during the final years before the Babylonian exile.
- 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: Anpu Triple: [Anubis, egyptianName, Anpu]
Generated description
Anpu is the ancient Egyptian name for Anubis, the jackal-headed god associated with mummification and the protection of the dead.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anpu Target entity description: Anpu is the ancient Egyptian name for Anubis, the jackal-headed god associated with mummification and the protection of the dead.
-
A.
Shapash
Shapash is the Phoenician sun goddess, often depicted as a powerful celestial deity associated with light, justice, and guidance among the gods and humans.
-
B.
Nunki
Nunki is a prominent blue-white star in the constellation Sagittarius, known as one of its brightest and most easily recognizable members.
-
C.
Khnum
Khnum is an ancient Egyptian ram-headed god associated with the Nile’s inundation, creation, and the molding of human beings on a potter’s wheel.
-
D.
Kamsa
Kamsa is a tyrannical king in Hindu mythology, best known as the evil uncle and nemesis of Lord Krishna.
-
E.
Hamutal
Hamutal was a queen of Judah, known as the mother of the last king of Judah, Zedekiah, during the final years before the Babylonian exile.
- 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_69bd43debbf08190b4bc372e286ec234 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd637fedd0819097f59734a9f9a01f |
completed | March 20, 2026, 3:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be03ac44d481908ecb1fe84184a886 |
completed | March 21, 2026, 2:34 a.m. |
| NEDg | Description generation | batch_69be048d53d08190a72fb6d2e788e3c9 |
completed | March 21, 2026, 2:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be0529868c8190b20e8966315b263a |
completed | March 21, 2026, 2:40 a.m. |
Created at: March 20, 2026, 1:16 p.m.