Triple
T16150201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sapygidae |
E391889
|
entity |
| Predicate | scientificNameAuthorship |
P7386
|
FINISHED |
| Object | Latreille |
E377227
|
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: Latreille | Statement: [Sapygidae, scientificNameAuthorship, Latreille]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Latreille Context triple: [Sapygidae, scientificNameAuthorship, Latreille]
-
A.
Latreille
chosen
Latreille is a French surname most notably associated with Pierre André Latreille, a pioneering 18th–19th century entomologist and taxonomist.
-
B.
Barbaroux
Barbaroux is a French surname most notably associated with Charles Barbaroux, a prominent figure of the French Revolution.
-
C.
Barye
Barye is a French surname most famously associated with Antoine-Louis Barye, a renowned 19th-century sculptor known for his dynamic animal bronzes.
-
D.
Tardieu
Tardieu is a French surname historically associated with several notable figures in politics, arts, and sciences.
-
E.
Mouton-Duvernet
Mouton-Duvernet is a Paris Métro station in the 14th arrondissement, serving the Montparnasse area and named after the French general Régis Barthélemy Mouton-Duvernet.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21d9724808190a8332987583a345a |
completed | April 17, 2026, 11:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff7a9ebf08190aa21cdff051f4ba2 |
completed | May 10, 2026, 3:12 a.m. |
Created at: April 10, 2026, 5:01 a.m.