Triple
T12803316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parkland College |
E306078
|
entity |
| Predicate | hasMascot |
P52
|
FINISHED |
| Object |
Cobra
Cobra is the athletic mascot representing Parkland College’s sports teams.
|
E1004578
|
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: Cobra | Statement: [Parkland College, hasMascot, Cobra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cobra Context triple: [Parkland College, hasMascot, 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.
Cobra
Cobra is a fictional terrorist organization and the primary antagonist faction in the G.I. Joe franchise.
-
C.
Cobra
Cobra is the internal codename for IBM and Motorola's first-generation PowerPC 601 microprocessor, used in early PowerPC-based systems in the mid-1990s.
-
D.
Cobra
The "Cobra" is the Northrop YF-17, a lightweight American prototype fighter aircraft that served as the design basis for the F/A-18 Hornet.
-
E.
Kobra
Kobra is a spinning disk roller coaster attraction at Chessington World of Adventures in the UK.
- 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: Cobra Triple: [Parkland College, hasMascot, Cobra]
Generated description
Cobra is the athletic mascot representing Parkland College’s sports teams.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cobra Target entity description: Cobra is the athletic mascot representing Parkland College’s sports teams.
-
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.
Cobra
Cobra is a fictional terrorist organization and the primary antagonist faction in the G.I. Joe franchise.
-
C.
Cobra
The "Cobra" is the Northrop YF-17, a lightweight American prototype fighter aircraft that served as the design basis for the F/A-18 Hornet.
-
D.
Cobra
Cobra is the internal codename for IBM and Motorola's first-generation PowerPC 601 microprocessor, used in early PowerPC-based systems in the mid-1990s.
-
E.
Kobra
Kobra is a spinning disk roller coaster attraction at Chessington World of Adventures in the UK.
- 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e7e3be48190ba9159c9f1ac2ccd |
completed | April 10, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68ec463f08190822e5235362cf584 |
completed | May 2, 2026, 11:54 p.m. |
| NEDg | Description generation | batch_69f6908cb8ec8190855b217c13a51f16 |
completed | May 3, 2026, 12:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6917688508190ae5a64494eaadce7 |
completed | May 3, 2026, 12:06 a.m. |
Created at: April 9, 2026, 5:30 p.m.