Triple
T7361325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Gervin |
E169751
|
entity |
| Predicate | memberOfSportsTeam |
P330
|
FINISHED |
| Object |
Romeo Zara
Romeo Zara is a sports team best known for having Basketball Hall of Famer George Gervin as one of its players.
|
E658029
|
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: Romeo Zara | Statement: [George Gervin, memberOfSportsTeam, Romeo Zara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Romeo Zara Context triple: [George Gervin, memberOfSportsTeam, Romeo Zara]
-
A.
Romeo Muller
Romeo Muller was an American screenwriter best known for crafting the stories and scripts of numerous classic Rankin/Bass animated holiday specials.
-
B.
Riccardo
Riccardo is an Italian given name, equivalent to Richard in English.
-
C.
Gianni
Gianni is an Italian given name commonly used for men, often as a diminutive of Giovanni.
-
D.
Roberto
Roberto is a masculine given name commonly used in Romance-language countries, equivalent to the English name Robert.
-
E.
Rocco
Rocco is a supporting character in *The Boondock Saints* who becomes an ally and accomplice to the vigilante brothers Murphy and Connor MacManus.
- 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: Romeo Zara Triple: [George Gervin, memberOfSportsTeam, Romeo Zara]
Generated description
Romeo Zara is a sports team best known for having Basketball Hall of Famer George Gervin as one of its players.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Romeo Zara Target entity description: Romeo Zara is a sports team best known for having Basketball Hall of Famer George Gervin as one of its players.
-
A.
Romeo Muller
Romeo Muller was an American screenwriter best known for crafting the stories and scripts of numerous classic Rankin/Bass animated holiday specials.
-
B.
Riccardo
Riccardo is an Italian given name, equivalent to Richard in English.
-
C.
Gianni
Gianni is an Italian given name commonly used for men, often as a diminutive of Giovanni.
-
D.
Roberto
Roberto is a masculine given name commonly used in Romance-language countries, equivalent to the English name Robert.
-
E.
Rocco
Rocco is a central character in Beethoven’s opera "Fidelio," serving as the prison jailer whose actions and moral choices significantly influence the drama’s unfolding.
- 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_69c68a59f2288190877ca15c19b1e822 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f15e0280819086627cef15fe18bd |
completed | March 27, 2026, 9:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7fab3a9d88190b9193dd0729eba5a |
completed | March 28, 2026, 3:58 p.m. |
| NEDg | Description generation | batch_69c7fbe2a86881909be54dac809aa9af |
completed | March 28, 2026, 4:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7fc84fff48190b4b43da21a9ede51 |
completed | March 28, 2026, 4:06 p.m. |
Created at: March 27, 2026, 3:06 p.m.