Triple
T976245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ¡Dos! |
E21058
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Lady Cobra
Lady Cobra is a fictional character from the comic series "¡Dos!" known for her distinctive, cobra-themed persona.
|
E114211
|
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: Lady Cobra | Statement: [¡Dos!, hasPart, Lady Cobra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lady Cobra Context triple: [¡Dos!, hasPart, Lady Cobra]
-
A.
Cobra
Cobra is a 1986 American action thriller film starring Sylvester Stallone as a tough, rule-breaking cop battling a violent crime cult.
-
B.
Vixen
Vixen is one of Santa Claus’s traditional flying reindeer, commonly depicted as part of the team that pulls his sleigh on Christmas Eve.
-
C.
Torch Lady
Torch Lady is the iconic female figure holding a torch that serves as the centerpiece of Columbia Pictures’ classic film studio logo.
-
D.
Sheena
Sheena is the first name of Scottish singer and actress Sheena Easton, known for hits in the 1980s such as "Morning Train (Nine to Five)" and "For Your Eyes Only."
-
E.
Jagjaguwar
Jagjaguwar is an American independent record label known for releasing critically acclaimed indie and experimental music, including albums by Bon Iver.
- 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: Lady Cobra Triple: [¡Dos!, hasPart, Lady Cobra]
Generated description
Lady Cobra is a fictional character from the comic series "¡Dos!" known for her distinctive, cobra-themed persona.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lady Cobra Target entity description: Lady Cobra is a fictional character from the comic series "¡Dos!" known for her distinctive, cobra-themed persona.
-
A.
Cobra
Cobra is a 1986 American action thriller film starring Sylvester Stallone as a tough, rule-breaking cop battling a violent crime cult.
-
B.
Vixen
Vixen is one of Santa Claus’s traditional flying reindeer, commonly depicted as part of the team that pulls his sleigh on Christmas Eve.
-
C.
Torch Lady
Torch Lady is the iconic female figure holding a torch that serves as the centerpiece of Columbia Pictures’ classic film studio logo.
-
D.
Sheena
Sheena is the first name of Scottish singer and actress Sheena Easton, known for hits in the 1980s such as "Morning Train (Nine to Five)" and "For Your Eyes Only."
-
E.
Jagjaguwar
Jagjaguwar is an American independent record label known for releasing critically acclaimed indie and experimental music, including albums by Bon Iver.
- 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_69a493c2b62c8190b616351789ec47f8 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b46234c88190b2bfc9cafe59d7f7 |
completed | March 1, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac170e8a008190a40001224f8dae2a |
completed | March 7, 2026, 12:16 p.m. |
| NEDg | Description generation | batch_69ac1787a9ac81908f032cd893d3efe8 |
completed | March 7, 2026, 12:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac1807aa388190ad2910966c9d1b04 |
completed | March 7, 2026, 12:20 p.m. |
Created at: March 1, 2026, 7:40 p.m.