Triple
T17118224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amon G. Carter Sr. |
E415395
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Amon |
E334553
|
NE FINISHED |
How this triple was built (2 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: Amon | Statement: [Amon G. Carter Sr., givenName, Amon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amon Context triple: [Amon G. Carter Sr., givenName, Amon]
-
A.
Amon
chosen
Amon was a king of Judah in the Hebrew Bible, known for continuing the idolatrous practices of his father Manasseh and being assassinated after a short reign.
-
B.
Amon Rûdh
Amon Rûdh is a prominent hill in J.R.R. Tolkien’s Middle-earth, known as the hidden stronghold of Túrin Turambar and the outlaws in the tales of the First Age.
-
C.
Ammaron
Ammaron is a prophet-historian in the Book of Mormon who safeguarded and passed on responsibility for the sacred Nephite records.
-
D.
Alaemon
Alaemon is a small genus of larks known for their ground-dwelling habits and adaptation to arid and semi-arid environments.
-
E.
Umreth
Umreth is a town in the Anand district of Gujarat, India, known for its agricultural trade and proximity to the region’s dairy industry.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3e8075a6c8190954d36eb94d1028a |
completed | April 18, 2026, 8:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a013a0b69108190ba3ba6ba7f8d3935 |
completed | May 11, 2026, 2:08 a.m. |
Created at: April 10, 2026, 5:35 a.m.