Triple
T11729486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | lewisite |
E278861
|
entity |
| Predicate | hasIsomer |
P88546
|
FINISHED |
| Object | lewisite II |
E278861
|
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: lewisite II | Statement: [lewisite, hasIsomer, lewisite II]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: lewisite II Context triple: [lewisite, hasIsomer, lewisite II]
-
A.
lewisite
chosen
Lewisite is a highly toxic organoarsenic compound developed as a chemical warfare blister agent during World War I.
-
B.
Nitram
Nitram is a 2021 Australian psychological drama film directed by Justin Kurzel that explores the events leading up to the 1996 Port Arthur massacre.
-
C.
Arsen
Arsen is a masculine given name commonly used in Eastern European and Caucasian countries, often derived from the Greek name Arsenios meaning "virile" or "strong."
-
D.
Chamical
Chamical is a small city in central La Rioja Province, Argentina, known historically as a regional railway and agricultural center.
-
E.
Agent Blue
Agent Blue was a herbicidal chemical defoliant used by the U.S. military during the Vietnam War to destroy crops and vegetation.
- 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4d80ef881908cab956787ab07fd |
completed | April 10, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef83f98fc481908015df3c4e5d7ed3 |
completed | April 27, 2026, 3:42 p.m. |
Created at: April 8, 2026, 9:41 p.m.