Triple
T3132780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steely McBeam |
E65453
|
entity |
| Predicate | nameContains |
P5298
|
FINISHED |
| Object |
Steely
Steely is the first name of Steely McBeam, the anthropomorphic steelworker mascot of the NFL’s Pittsburgh Steelers.
|
E330515
|
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: Steely | Statement: [Steely McBeam, nameContains, Steely]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steely Context triple: [Steely McBeam, nameContains, Steely]
-
A.
Stark
Stark is a common surname of Scottish origin associated with various notable figures in politics, science, and popular culture.
-
B.
Steelman
Steelman is a surname of English origin borne by various notable individuals, including American economist and presidential advisor John R. Steelman.
-
C.
Gritty
Gritty is the Philadelphia Flyers’ shaggy, orange, googly-eyed mascot known for his chaotic, meme-worthy personality and instant pop-culture fame.
-
D.
Steele
Steele is a surname most notably borne by Charles Steele Jr., an American civil rights leader and former president of the Southern Christian Leadership Conference.
-
E.
Sharp
Sharp is a common English surname borne by numerous notable individuals across politics, sports, academia, and the arts.
- 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: Steely Triple: [Steely McBeam, nameContains, Steely]
Generated description
Steely is the first name of Steely McBeam, the anthropomorphic steelworker mascot of the NFL’s Pittsburgh Steelers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Steely Target entity description: Steely is the first name of Steely McBeam, the anthropomorphic steelworker mascot of the NFL’s Pittsburgh Steelers.
-
A.
Stark
Stark is a common surname of Scottish origin associated with various notable figures in politics, science, and popular culture.
-
B.
Steelman
Steelman is a surname of English origin borne by various notable individuals, including American economist and presidential advisor John R. Steelman.
-
C.
Gritty
Gritty is the Philadelphia Flyers’ shaggy, orange, googly-eyed mascot known for his chaotic, meme-worthy personality and instant pop-culture fame.
-
D.
Steele
Steele is a surname most notably borne by Charles Steele Jr., an American civil rights leader and former president of the Southern Christian Leadership Conference.
-
E.
Sharp
Sharp is a common English surname borne by numerous notable individuals across politics, sports, academia, and the arts.
- 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_69ad8581c25c8190b0d85ba9b9baa531 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada55f77b881908866fc43bdb18185 |
completed | March 8, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20f82787c81908eb72b18614c3421 |
completed | March 12, 2026, 12:57 a.m. |
| NEDg | Description generation | batch_69b2102e35b08190ad9ca397f0c937da |
completed | March 12, 2026, 1 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b21458b07081909d75886e0d9f88e9 |
completed | March 12, 2026, 1:18 a.m. |
Created at: March 8, 2026, 3:04 p.m.