Triple
T384690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pittsburgh Penguins |
E8753
|
entity |
| Predicate | mascot |
P52
|
FINISHED |
| Object |
Iceburgh
Iceburgh is the costumed penguin mascot of the NHL’s Pittsburgh Penguins, known for entertaining fans at games and team events.
|
E49623
|
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: Iceburgh | Statement: [Pittsburgh Penguins, mascot, Iceburgh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iceburgh Context triple: [Pittsburgh Penguins, mascot, Iceburgh]
-
A.
Bladon
Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
-
B.
Val-Kill
Val-Kill is the Hyde Park, New York retreat that served as Eleanor Roosevelt’s personal home and later became a national historic site honoring her life and work.
-
C.
Hollein
Hollein is a German-language surname most prominently associated with Austrian architects Hans Hollein and his son Max Hollein, a leading museum director.
-
D.
Blagg
Blagg is a variant form of the surname "Black," typically arising as an alternative spelling in English-speaking regions.
-
E.
Milhous
Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
- 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: Iceburgh Triple: [Pittsburgh Penguins, mascot, Iceburgh]
Generated description
Iceburgh is the costumed penguin mascot of the NHL’s Pittsburgh Penguins, known for entertaining fans at games and team events.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Iceburgh Target entity description: Iceburgh is the costumed penguin mascot of the NHL’s Pittsburgh Penguins, known for entertaining fans at games and team events.
-
A.
Bladon
Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
-
B.
Val-Kill
Val-Kill is the Hyde Park, New York retreat that served as Eleanor Roosevelt’s personal home and later became a national historic site honoring her life and work.
-
C.
Hollein
Hollein is a German-language surname most prominently associated with Austrian architects Hans Hollein and his son Max Hollein, a leading museum director.
-
D.
Blagg
Blagg is a variant form of the surname "Black," typically arising as an alternative spelling in English-speaking regions.
-
E.
Milhous
Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
- 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_69a2e7f47dd08190a4e294ccbbe46cd4 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec422b808190b6ddf747ef939151 |
completed | Feb. 28, 2026, 1:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a405f431d48190b83e2eaa2fe0e587 |
completed | March 1, 2026, 9:25 a.m. |
| NEDg | Description generation | batch_69a4068c6b708190b8f06efedc6ba2c6 |
completed | March 1, 2026, 9:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a406d581888190a0380f362a844089 |
completed | March 1, 2026, 9:28 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.