Triple
T10256011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carol Guzy |
E240467
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Guzy
Guzy is a surname most notably associated with Carol Guzy, a renowned American photojournalist and multiple Pulitzer Prize winner.
|
E851004
|
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: Guzy | Statement: [Carol Guzy, familyName, Guzy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guzy Context triple: [Carol Guzy, familyName, Guzy]
-
A.
Gehman
Gehman is a surname most notably associated with Harold W. Gehman Jr., a retired United States Navy admiral and former NATO commander.
-
B.
Gulpen
Gulpen is a village in the hilly Limburg region of the Netherlands, known for its scenic landscapes, historic center, and local brewery culture.
-
C.
Syal
Syal is the surname of Meera Syal, a prominent British-Indian comedian, writer, playwright, and actress known for her work in television, film, and literature.
-
D.
Russy
Russy is a small municipality located in the Broye district of the canton of Fribourg in western Switzerland.
-
E.
Rogat
Rogat is a small village in the Dutch province of Drenthe, known for its rural character and location within the municipality of De Wolden.
- 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: Guzy Triple: [Carol Guzy, familyName, Guzy]
Generated description
Guzy is a surname most notably associated with Carol Guzy, a renowned American photojournalist and multiple Pulitzer Prize winner.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Guzy Target entity description: Guzy is a surname most notably associated with Carol Guzy, a renowned American photojournalist and multiple Pulitzer Prize winner.
-
A.
Gehman
Gehman is a surname most notably associated with Harold W. Gehman Jr., a retired United States Navy admiral and former NATO commander.
-
B.
Gulpen
Gulpen is a village in the hilly Limburg region of the Netherlands, known for its scenic landscapes, historic center, and local brewery culture.
-
C.
Syal
Syal is the surname of Meera Syal, a prominent British-Indian comedian, writer, playwright, and actress known for her work in television, film, and literature.
-
D.
Russy
Russy is a small municipality located in the Broye district of the canton of Fribourg in western Switzerland.
-
E.
Rogat
Rogat is a small village in the Dutch province of Drenthe, known for its rural character and location within the municipality of De Wolden.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d24c69ac81908b4da53d13407ac8 |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f7d7ff0c8190b8c9cf063532cdf2 |
completed | April 9, 2026, 12:50 a.m. |
| NEDg | Description generation | batch_69d6fa3149e48190825600ee28ed7231 |
completed | April 9, 2026, 1 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6fcbee9088190869b1fcb6f909be3 |
completed | April 9, 2026, 1:11 a.m. |
Created at: April 6, 2026, 11:30 a.m.