Triple
T13104757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mariel Hemingway |
E310815
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Mariel
Mariel is a feminine given name best known for its association with American actress and author Mariel Hemingway.
|
E123214
|
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: Mariel | Statement: [Mariel Hemingway, givenName, Mariel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mariel Context triple: [Mariel Hemingway, givenName, Mariel]
-
A.
Mariel
Mariel is a Cuban port city best known as the departure point for the 1980 Mariel boatlift, during which thousands of Cubans emigrated to the United States.
-
B.
Tusa
Tusa is a surname most notably associated with Sir John Tusa, a prominent British arts administrator and former broadcaster.
-
C.
Tusa
"Tusa" is a globally popular reggaeton and Latin pop song by Colombian singer Karol G featuring Nicki Minaj, known for its catchy melody and themes of heartbreak and empowerment.
-
D.
Somosta
Somosta is a town located within Egypt's Beni Suef Governorate, known as one of the local urban centers in this Upper Egyptian region.
-
E.
Toa Baja
Toa Baja is a coastal municipality in northern Puerto Rico, known for its proximity to San Juan and its mix of urban, industrial, and residential areas.
- 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: Mariel Triple: [Mariel Hemingway, givenName, Mariel]
Generated description
Mariel is a feminine given name best known for its association with American actress and author Mariel Hemingway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mariel Target entity description: Mariel is a feminine given name best known for its association with American actress and author Mariel Hemingway.
-
A.
Mariel
chosen
Mariel is a Cuban port city best known as the departure point for the 1980 Mariel boatlift, during which thousands of Cubans emigrated to the United States.
-
B.
Tusa
Tusa is a surname most notably associated with Sir John Tusa, a prominent British arts administrator and former broadcaster.
-
C.
Tusa
"Tusa" is a globally popular reggaeton and Latin pop song by Colombian singer Karol G featuring Nicki Minaj, known for its catchy melody and themes of heartbreak and empowerment.
-
D.
Somosta
Somosta is a town located within Egypt's Beni Suef Governorate, known as one of the local urban centers in this Upper Egyptian region.
-
E.
Toa Baja
Toa Baja is a coastal municipality in northern Puerto Rico, known for its proximity to San Juan and its mix of urban, industrial, and residential areas.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98153255c8190b6ab64ac0c4716f8 |
completed | April 10, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e277b89c8190a0d895eb46836525 |
completed | May 3, 2026, 5:51 a.m. |
| NEDg | Description generation | batch_69f6e49f9b2c8190adc17603ac326b94 |
completed | May 3, 2026, 6:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6e5979df881909db42a735b9b1064 |
completed | May 3, 2026, 6:05 a.m. |
Created at: April 9, 2026, 9:05 p.m.