Triple
T18066109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maiduan |
E432296
|
entity |
| Predicate | hasAncestor |
P369
|
FINISHED |
| Object |
Proto-Maiduan
Proto-Maiduan is the reconstructed ancestral language from which the Maiduan languages of northern California are believed to have descended.
|
E1303559
|
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: Proto-Maiduan | Statement: [Maiduan, hasAncestor, Proto-Maiduan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Proto-Maiduan Context triple: [Maiduan, hasAncestor, Proto-Maiduan]
-
A.
Proto-Gur
Proto-Gur is the reconstructed common ancestor of the Gur languages of West Africa, inferred through comparative linguistic analysis.
-
B.
Proto-Koman
Proto-Koman is the reconstructed ancestral language from which the modern Koman languages of the Nilo-Saharan family are derived.
-
C.
Proto-Mari
Proto-Mari is the reconstructed ancestral language from which the modern Hill Mari language developed.
-
D.
Proto-Dhegihan
Proto-Dhegihan is the reconstructed common ancestor of the Dhegihan branch of Siouan languages, inferred through comparative linguistic analysis.
-
E.
Proto-Shastan
Proto-Shastan is the reconstructed ancestral language from which the Shastan languages of northern California and southern Oregon are believed to have descended.
- 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: Proto-Maiduan Triple: [Maiduan, hasAncestor, Proto-Maiduan]
Generated description
Proto-Maiduan is the reconstructed ancestral language from which the Maiduan languages of northern California are believed to have descended.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Proto-Maiduan Target entity description: Proto-Maiduan is the reconstructed ancestral language from which the Maiduan languages of northern California are believed to have descended.
-
A.
Proto-Gur
Proto-Gur is the reconstructed common ancestor of the Gur languages of West Africa, inferred through comparative linguistic analysis.
-
B.
Proto-Koman
Proto-Koman is the reconstructed ancestral language from which the modern Koman languages of the Nilo-Saharan family are derived.
-
C.
Proto-Mari
Proto-Mari is the reconstructed ancestral language from which the modern Hill Mari language developed.
-
D.
Proto-Dhegihan
Proto-Dhegihan is the reconstructed common ancestor of the Dhegihan branch of Siouan languages, inferred through comparative linguistic analysis.
-
E.
Proto-Shastan
Proto-Shastan is the reconstructed ancestral language from which the Shastan languages of northern California and southern Oregon are believed to have descended.
- 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4cce97ce08190a2f8762ce545e091 |
completed | April 19, 2026, 12:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a035670159081909bc8c626318253a2 |
completed | May 12, 2026, 4:33 p.m. |
| NEDg | Description generation | batch_6a03576c04e881908f76694f053d709a |
completed | May 12, 2026, 4:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0357f78a7c819083d57f330083698e |
completed | May 12, 2026, 4:40 p.m. |
Created at: April 10, 2026, 10:26 a.m.