Triple
T10521403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eric Gairy |
E248180
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Gairy
Gairy is a surname most notably associated with Eric Gairy, the first Prime Minister of Grenada and a prominent Caribbean political figure.
|
E868626
|
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: Gairy | Statement: [Eric Gairy, familyName, Gairy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gairy Context triple: [Eric Gairy, familyName, Gairy]
-
A.
Garai
Garai is a surname most notably associated with English actress and director Romola Garai.
-
B.
Geikie
Geikie is a Scottish surname most notably associated with Archibald Geikie, a prominent 19th-century geologist and director of the British Geological Survey.
-
C.
Ogi
Ogi was a former municipality on Sado Island in Niigata Prefecture, Japan, known for its coastal setting and later incorporation into the city of Sado.
-
D.
Gai
Gai is a given name and variant of "Guy," used in various cultures as a masculine personal name.
-
E.
Gararu
Gararu is a municipality in the Brazilian state of Sergipe, located in the semi-arid interior region known for its rural economy and proximity to the São Francisco River.
- 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: Gairy Triple: [Eric Gairy, familyName, Gairy]
Generated description
Gairy is a surname most notably associated with Eric Gairy, the first Prime Minister of Grenada and a prominent Caribbean political figure.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gairy Target entity description: Gairy is a surname most notably associated with Eric Gairy, the first Prime Minister of Grenada and a prominent Caribbean political figure.
-
A.
Garai
Garai is a surname most notably associated with English actress and director Romola Garai.
-
B.
Geikie
Geikie is a Scottish surname most notably associated with Archibald Geikie, a prominent 19th-century geologist and director of the British Geological Survey.
-
C.
Ogi
Ogi was a former municipality on Sado Island in Niigata Prefecture, Japan, known for its coastal setting and later incorporation into the city of Sado.
-
D.
Gai
Gai is a given name and variant of "Guy," used in various cultures as a masculine personal name.
-
E.
Gararu
Gararu is a municipality in the Brazilian state of Sergipe, located in the semi-arid interior region known for its rural economy and proximity to the São Francisco River.
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509dec25881909bc748640f26a416 |
completed | April 7, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90e119fe4819085e5c1c6e71e6260 |
completed | April 10, 2026, 2:49 p.m. |
| NEDg | Description generation | batch_69d9107dc8448190998c4044f68a775e |
completed | April 10, 2026, 3 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d911e7d2dc8190a67b2513607fdf98 |
completed | April 10, 2026, 3:06 p.m. |
Created at: April 6, 2026, 12:29 p.m.