Triple
T17142466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Permian High School |
E416001
|
entity |
| Predicate | mascot |
P52
|
FINISHED |
| Object |
Panther
The Panther is a powerful, stealthy big cat often symbolizing strength and agility as a sports team mascot.
|
E149777
|
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: Panther | Statement: [Permian High School, mascot, Panther]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Panther Context triple: [Permian High School, mascot, Panther]
-
A.
Panther
The Panther is the fierce and agile feline mascot representing Clark Atlanta University’s athletic teams and school spirit.
-
B.
Panther
Panther is the NATO reporting name for the German World War II medium tank Panzerkampfwagen V, renowned for its powerful gun, sloped armor, and significant impact on armored warfare.
-
C.
Panther
Panther is the codename for Mac OS X 10.3, a major early-2000s release of Apple’s Mac operating system known for performance improvements and new user interface features.
-
D.
Panther
Panther is the nickname of the German professional ice hockey club ERC Ingolstadt, reflecting the team's fierce and dynamic identity.
-
E.
Tig
Tig is a fictional character from the television series "Sons of Anarchy," known for his volatile personality and loyalty to the motorcycle club.
- 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: Panther Triple: [Permian High School, mascot, Panther]
Generated description
The Panther is a powerful, stealthy big cat often symbolizing strength and agility as a sports team mascot.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Panther Target entity description: The Panther is a powerful, stealthy big cat often symbolizing strength and agility as a sports team mascot.
-
A.
Panther
chosen
The Panther is the fierce and agile feline mascot representing Clark Atlanta University’s athletic teams and school spirit.
-
B.
Panther
Panther is the NATO reporting name for the German World War II medium tank Panzerkampfwagen V, renowned for its powerful gun, sloped armor, and significant impact on armored warfare.
-
C.
Panther
Panther is the codename for Mac OS X 10.3, a major early-2000s release of Apple’s Mac operating system known for performance improvements and new user interface features.
-
D.
Panther
Panther is the nickname of the German professional ice hockey club ERC Ingolstadt, reflecting the team's fierce and dynamic identity.
-
E.
Tig
Tig is a fictional character from the television series "Sons of Anarchy," known for his volatile personality and loyalty to the motorcycle club.
- F. None of above.
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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f2d5de10819090cbd65661b018d3 |
completed | April 18, 2026, 9:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a014154b9848190ac01602eb01ae710 |
completed | May 11, 2026, 2:39 a.m. |
| NEDg | Description generation | batch_6a01425d2c20819084c0fa3bd413ebfa |
completed | May 11, 2026, 2:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0142dbb6f48190a631a05c5bada0e4 |
completed | May 11, 2026, 2:45 a.m. |
Created at: April 10, 2026, 5:36 a.m.