Triple
T7564068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tyler Herro |
E178865
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Herro
Herro is the surname of American professional basketball player Tyler Herro, known for his scoring ability and play with the Miami Heat in the NBA.
|
E674058
|
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: Herro | Statement: [Tyler Herro, familyName, Herro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Herro Context triple: [Tyler Herro, familyName, Herro]
-
A.
The Hec
The Hec is the popular nickname for Alaska Airlines Arena at Hec Edmundson Pavilion, the University of Washington’s primary indoor sports venue in Seattle.
-
B.
Heriz
Heriz is a renowned carpet-weaving region in northwestern Iran, famous for its durable hand-knotted rugs featuring bold geometric medallion designs.
-
C.
The Mighty
The Mighty is a 1998 drama film about the friendship between two misfit boys, based on the novel "Freak the Mighty" by Rodman Philbrick.
-
D.
Heer
The Heer was the land-based component of Nazi Germany’s armed forces, serving as its primary army during World War II.
-
E.
Heer
Heer is the tragic heroine of the classic Punjabi romantic epic "Heer Ranjha," renowned as a symbol of eternal love and devotion.
- 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: Herro Triple: [Tyler Herro, familyName, Herro]
Generated description
Herro is the surname of American professional basketball player Tyler Herro, known for his scoring ability and play with the Miami Heat in the NBA.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Herro Target entity description: Herro is the surname of American professional basketball player Tyler Herro, known for his scoring ability and play with the Miami Heat in the NBA.
-
A.
The Hec
The Hec is the popular nickname for Alaska Airlines Arena at Hec Edmundson Pavilion, the University of Washington’s primary indoor sports venue in Seattle.
-
B.
Heriz
Heriz is a renowned carpet-weaving region in northwestern Iran, famous for its durable hand-knotted rugs featuring bold geometric medallion designs.
-
C.
The Mighty
The Mighty is a 1998 drama film about the friendship between two misfit boys, based on the novel "Freak the Mighty" by Rodman Philbrick.
-
D.
Heer
The Heer was the land-based component of Nazi Germany’s armed forces, serving as its primary army during World War II.
-
E.
Heer
Heer is the tragic heroine of the classic Punjabi romantic epic "Heer Ranjha," renowned as a symbol of eternal love and devotion.
- 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_69c69f2f80288190b95cceb4da92ab2b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8fb1c00819096bdb73334d8d72e |
completed | March 27, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c856d8206081909987556fb6ab7084 |
completed | March 28, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69c85918e70481908502cb86a31edc14 |
completed | March 28, 2026, 10:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c85982256081908263d5f25c6e99b5 |
completed | March 28, 2026, 10:43 p.m. |
Created at: March 27, 2026, 3:50 p.m.