Triple
T492774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rocky |
E10224
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Adrian Pennino
Adrian Pennino is a shy pet shop worker who becomes Rocky Balboa’s devoted wife and emotional anchor in the Rocky film series.
|
E77293
|
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: Adrian Pennino | Statement: [Rocky, character, Adrian Pennino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adrian Pennino Context triple: [Rocky, character, Adrian Pennino]
-
A.
Michael Convertino
Michael Convertino is an American film composer known for scoring a variety of movies and television projects.
-
B.
Ronald Mariano
Ronald Mariano is an American politician serving as Speaker of the Massachusetts House of Representatives.
-
C.
Jake Nava
Jake Nava is a British music video director known for his visually striking work with major artists across pop and R&B.
-
D.
Jason Hudson
Jason Hudson was the brother of singer and actress Jennifer Hudson, tragically murdered in a widely publicized 2008 family shooting in Chicago.
-
E.
Dante Spinotti
Dante Spinotti is an acclaimed Italian cinematographer known for his visually distinctive work on films such as Heat, L.A. Confidential, and The Insider.
- 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: Adrian Pennino Triple: [Rocky, character, Adrian Pennino]
Generated description
Adrian Pennino is a shy pet shop worker who becomes Rocky Balboa’s devoted wife and emotional anchor in the Rocky film series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Adrian Pennino Target entity description: Adrian Pennino is a shy pet shop worker who becomes Rocky Balboa’s devoted wife and emotional anchor in the Rocky film series.
-
A.
Michael Convertino
Michael Convertino is an American film composer known for scoring a variety of movies and television projects.
-
B.
Ronald Mariano
Ronald Mariano is an American politician serving as Speaker of the Massachusetts House of Representatives.
-
C.
Jake Nava
Jake Nava is a British music video director known for his visually striking work with major artists across pop and R&B.
-
D.
Jason Hudson
Jason Hudson was the brother of singer and actress Jennifer Hudson, tragically murdered in a widely publicized 2008 family shooting in Chicago.
-
E.
Dante Spinotti
Dante Spinotti is an acclaimed Italian cinematographer known for his visually distinctive work on films such as Heat, L.A. Confidential, and The Insider.
- 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_69a2e847df8481909239ec08ccf1e376 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f0faab4881909f65f172198b5bd2 |
completed | Feb. 28, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a55a7165988190bc4312ca40770e27 |
completed | March 2, 2026, 9:37 a.m. |
| NEDg | Description generation | batch_69a55ad98dc881909f0e78acee4c6ac2 |
completed | March 2, 2026, 9:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a55baf54bc81909366f20361a8c387 |
completed | March 2, 2026, 9:43 a.m. |
Created at: Feb. 28, 2026, 1:12 p.m.