Triple
T9547934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santal people |
E230341
|
entity |
| Predicate | traditionalLeadership |
P1520
|
FINISHED |
| Object |
Godet
Godet is a traditional leadership institution of the Santal people, embodying their customary authority and governance practices.
|
E805474
|
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: Godet | Statement: [Santal people, traditionalLeadership, Godet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Godet Context triple: [Santal people, traditionalLeadership, Godet]
-
A.
Vitte
Vitte is the largest village and main tourist and administrative center on the Baltic Sea island of Hiddensee in Germany.
-
B.
Geva
Geva is a surname most notably associated with Tamara Geva, a Russian-American actress, dancer, and choreographer.
-
C.
Magdelon
Magdelon is one of the two naive, pretentious young women satirized for their affected manners and romantic fantasies in Molière’s comedy *Les Précieuses ridicules*.
-
D.
Gsell
Gsell is a surname of Germanic origin borne by various notable individuals, including artists, scholars, and public figures.
-
E.
Durolle
Durolle is a river in central France that flows through the town of Thiers, historically powering its renowned cutlery and knife-making industry.
- 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: Godet Triple: [Santal people, traditionalLeadership, Godet]
Generated description
Godet is a traditional leadership institution of the Santal people, embodying their customary authority and governance practices.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Godet Target entity description: Godet is a traditional leadership institution of the Santal people, embodying their customary authority and governance practices.
-
A.
Vitte
Vitte is the largest village and main tourist and administrative center on the Baltic Sea island of Hiddensee in Germany.
-
B.
Geva
Geva is a surname most notably associated with Tamara Geva, a Russian-American actress, dancer, and choreographer.
-
C.
Magdelon
Magdelon is one of the two naive, pretentious young women satirized for their affected manners and romantic fantasies in Molière’s comedy *Les Précieuses ridicules*.
-
D.
Gsell
Gsell is a surname of Germanic origin borne by various notable individuals, including artists, scholars, and public figures.
-
E.
Durolle
Durolle is a river in central France that flows through the town of Thiers, historically powering its renowned cutlery and knife-making industry.
- 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_69ca847c70b8819088a0a0bad64a50d6 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9904732c8190ab60ecc47c995cbe |
completed | April 1, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14c7be5008190a16036525fd9059e |
completed | April 4, 2026, 5:38 p.m. |
| NEDg | Description generation | batch_69d14d4576488190a000f733ece39620 |
completed | April 4, 2026, 5:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d14dda805c81908093eb146915fdda |
completed | April 4, 2026, 5:43 p.m. |
Created at: March 30, 2026, 8:02 p.m.