Triple
T8859915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mac OS X 10.5 Leopard |
E210860
|
entity |
| Predicate | codename |
P2980
|
FINISHED |
| Object | Leopard |
E651563
|
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: Leopard | Statement: [Mac OS X 10.5 Leopard, codename, Leopard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leopard Context triple: [Mac OS X 10.5 Leopard, codename, Leopard]
-
A.
Leopard
chosen
The leopard is a large, solitary wild cat native to Africa and parts of Asia, known for its spotted coat, adaptability to diverse habitats, and exceptional climbing and hunting abilities.
-
B.
African Lion
African Lion is a large annual multinational military exercise in North and West Africa, led by the United States and Morocco to enhance regional security cooperation and interoperability.
-
C.
Tiger
Tiger is a legendary American professional golfer widely regarded as one of the greatest players in the history of the sport.
-
D.
Tiger
The tiger is a large, powerful carnivorous cat known for its distinctive orange coat with black stripes and its status as an apex predator in Asia.
-
E.
Lion
Lion is a mysterious, magical pink lion who serves as a companion and guardian to Steven in the animated series "Steven Universe."
- 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_69ca838bbddc8190ab546d737e5d350f |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60e712d08190bfb1c4ba3acaea90 |
completed | April 1, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa0b94f5481909902b5fa405a502f |
completed | April 3, 2026, 11:12 a.m. |
Created at: March 30, 2026, 6:50 p.m.