Triple
T9513180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mina Miller Edison |
E229453
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Mina
Mina is a feminine given name used in various cultures, often as a short form of names like Wilhelmina, Amina, or Emina.
|
E804092
|
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: Mina | Statement: [Mina Miller Edison, givenName, Mina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mina Context triple: [Mina Miller Edison, givenName, Mina]
-
A.
Mina
Mina is a Gbe language of the Niger-Congo family spoken primarily in southern Togo and neighboring regions of West Africa.
-
B.
Mina
Mina is a valley and neighborhood near Mecca in Saudi Arabia that serves as a major site for key Hajj rituals, including the symbolic stoning of the devil.
-
C.
Mina
Mina is a coastal city and port in northern Lebanon known for its maritime activities and proximity to Tripoli.
-
D.
Mahina
Mahina is a coastal commune on the island of Tahiti in French Polynesia, known for its proximity to Point Venus and its scenic Pacific shoreline.
-
E.
Nena
Nena is a German pop singer and actress best known internationally for her 1983 hit song "99 Luftballons."
- 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: Mina Triple: [Mina Miller Edison, givenName, Mina]
Generated description
Mina is a feminine given name used in various cultures, often as a short form of names like Wilhelmina, Amina, or Emina.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mina Target entity description: Mina is a feminine given name used in various cultures, often as a short form of names like Wilhelmina, Amina, or Emina.
-
A.
Mina
Mina is a valley and neighborhood near Mecca in Saudi Arabia that serves as a major site for key Hajj rituals, including the symbolic stoning of the devil.
-
B.
Mina
Mina is a Gbe language of the Niger-Congo family spoken primarily in southern Togo and neighboring regions of West Africa.
-
C.
Mina
Mina is a coastal city and port in northern Lebanon known for its maritime activities and proximity to Tripoli.
-
D.
Mahina
Mahina is a coastal commune on the island of Tahiti in French Polynesia, known for its proximity to Point Venus and its scenic Pacific shoreline.
-
E.
Nena
Nena is a German pop singer and actress best known internationally for her 1983 hit song "99 Luftballons."
- 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_69ca84777560819084cddd999badc1aa |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd986aa99c8190b2eaa7f9b111aa2e |
completed | April 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d13a3e93a481908569a4ec80c834ab |
completed | April 4, 2026, 4:20 p.m. |
| NEDg | Description generation | batch_69d13c88a8b881909b024cf99a6a2778 |
completed | April 4, 2026, 4:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d13cfaab2c8190a6cc0fefeac7cd45 |
completed | April 4, 2026, 4:31 p.m. |
Created at: March 30, 2026, 7:58 p.m.