Triple
T5068754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady Cobra |
E114211
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Lady Cobra |
E114211
|
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: Lady Cobra | Statement: [Lady Cobra, hasName, Lady Cobra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lady Cobra Context triple: [Lady Cobra, hasName, Lady Cobra]
-
A.
Lady Cobra
chosen
Lady Cobra is a fictional character from the comic series "¡Dos!" known for her distinctive, cobra-themed persona.
-
B.
Scorpion
Scorpion is a 2018 studio album by Canadian rapper and singer Drake that blends hip hop and R&B across a double-disc format and features several chart-topping singles.
-
C.
Scorpion
"Scorpion" is a highly acclaimed two-part Star Trek: Voyager episode that introduces the Borg's conflict with Species 8472 and marks Seven of Nine's entry into the series.
-
D.
Dragon Lady
Dragon Lady is the nickname of the Lockheed U-2, a high-altitude American reconnaissance aircraft used extensively for intelligence gathering during the Cold War and beyond.
-
E.
Cobra
Cobra is a 1986 American action thriller film starring Sylvester Stallone as a tough, rule-breaking cop battling a violent crime cult.
- 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_69bd443cf28c8190ad371d603563dbdd |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd749dd1a08190858fa739df024eb4 |
completed | March 20, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea4a027a88190a515a374e5405d8a |
completed | March 21, 2026, 2:01 p.m. |
Created at: March 20, 2026, 1:39 p.m.