Triple
T18334236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gerry Lopez |
E439226
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Gerry
Gerry is a masculine given name, often a diminutive of Gerald, Gerard, or Geraldine, used in various English-speaking countries.
|
E250625
|
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: Gerry | Statement: [Gerry Lopez, givenName, Gerry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gerry Context triple: [Gerry Lopez, givenName, Gerry]
-
A.
Gerry
Gerry is a surname most notably associated with Elbridge Gerry, an American statesman and fifth Vice President of the United States, whose name is the origin of the term "gerrymandering."
-
B.
Gerry
Gerry is a fictional character played by Irish actor Ciarán Hinds, known from his work in film and television dramas.
-
C.
Gerry
Gerry is a minimalist 2002 drama film directed by Gus Van Sant, starring Matt Damon and Casey Affleck as two friends lost in the desert.
-
D.
Gerald
Gerald is a central character in the British comedy film "The Full Monty," portrayed as a former factory foreman who joins a group of unemployed men planning a striptease act to make ends meet.
-
E.
Gerald
Gerald is a masculine given name of Germanic origin, commonly used in English-speaking countries.
- 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: Gerry Triple: [Gerry Lopez, givenName, Gerry]
Generated description
Gerry is a masculine given name, often a diminutive of Gerald, Gerard, or Geraldine, used in various English-speaking countries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gerry Target entity description: Gerry is a masculine given name, often a diminutive of Gerald, Gerard, or Geraldine, used in various English-speaking countries.
-
A.
Gerry
chosen
Gerry is a surname most notably associated with Elbridge Gerry, an American statesman and fifth Vice President of the United States, whose name is the origin of the term "gerrymandering."
-
B.
Gerry
Gerry is a fictional character played by Irish actor Ciarán Hinds, known from his work in film and television dramas.
-
C.
Gerry
Gerry is a minimalist 2002 drama film directed by Gus Van Sant, starring Matt Damon and Casey Affleck as two friends lost in the desert.
-
D.
Gerald
Gerald is a masculine given name of Germanic origin, commonly used in English-speaking countries.
-
E.
Gerald
Gerald is a central character in the British comedy film "The Full Monty," portrayed as a former factory foreman who joins a group of unemployed men planning a striptease act to make ends meet.
- F. None of above.
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_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50ecc91148190aa820fcd466009ce |
completed | April 19, 2026, 5:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03c4d085748190bfd9a7e94f1344a5 |
completed | May 13, 2026, 12:24 a.m. |
| NEDg | Description generation | batch_6a03c570ed348190a7e19eed29b06909 |
completed | May 13, 2026, 12:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03c5ec00a88190a93c3be5dd3bc6ee |
completed | May 13, 2026, 12:29 a.m. |
Created at: April 10, 2026, 10:36 a.m.