Triple
T10439097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Larry Gagosian |
E246121
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Larry
Larry Gagosian is a prominent American art dealer and owner of the international Gagosian Gallery network.
|
E862993
|
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: Larry | Statement: [Larry Gagosian, givenName, Larry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Larry Context triple: [Larry Gagosian, givenName, Larry]
-
A.
Larry
Larry is the commonly used nickname of Lawrence Joseph Ellison, the billionaire co-founder and longtime leader of Oracle Corporation.
-
B.
Larry
Larry is a central character in Stephen King’s short story “The Last Rung on the Ladder,” whose relationship with his sister and a childhood tragedy drives the narrative’s emotional impact.
-
C.
Larry
Larry is the given name of Larry Bird, the legendary Hall of Fame Boston Celtics forward widely regarded as one of the greatest basketball players in NBA history.
-
D.
Larry
Larry is the sarcastic and somewhat cynical cameraman who works alongside Phil Connors in the film "Groundhog Day."
-
E.
Larry
Larry is the given name of Larry Berra, better known as Yogi Berra, the legendary American baseball catcher and manager.
- 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: Larry Triple: [Larry Gagosian, givenName, Larry]
Generated description
Larry Gagosian is a prominent American art dealer and owner of the international Gagosian Gallery network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Larry Target entity description: Larry Gagosian is a prominent American art dealer and owner of the international Gagosian Gallery network.
-
A.
Larry
Larry is the given name of Larry Poons, an American abstract painter associated with the Color Field movement and Op Art.
-
B.
Larry
Larry is the commonly used nickname of Lawrence Joseph Ellison, the billionaire co-founder and longtime leader of Oracle Corporation.
-
C.
Larry
Larry is the given name of Larry Holmes, the American former professional boxer and longtime world heavyweight champion.
-
D.
Larry
Larry is the given name of Larry Bird, the legendary Hall of Fame Boston Celtics forward widely regarded as one of the greatest basketball players in NBA history.
-
E.
Larry
Larry Itliong was a Filipino American labor organizer and key leader in the farm workers’ movement, known for helping to initiate the Delano grape strike and advocating for farm laborers’ rights in California.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fb9d3a888190bf490b004a16c3ee |
completed | April 7, 2026, 12:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87eccf4908190b16b82abfb0b8d43 |
completed | April 10, 2026, 4:38 a.m. |
| NEDg | Description generation | batch_69d8837e70508190b03e8983b2617eac |
completed | April 10, 2026, 4:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d889cc40648190a1d80b955e676ea5 |
completed | April 10, 2026, 5:25 a.m. |
Created at: April 6, 2026, 12:15 p.m.