Triple
T6804268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicholas Gage |
E156261
|
entity |
| Predicate | parentOf |
P120
|
FINISHED |
| Object |
Elena Gage
Elena Gage is the daughter of Greek-American author and journalist Nicholas Gage.
|
E632983
|
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: Elena Gage | Statement: [Nicholas Gage, parentOf, Elena Gage]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elena Gage Context triple: [Nicholas Gage, parentOf, Elena Gage]
-
A.
Elizabeth Snodgrass
Elizabeth Snodgrass is a person notable enough to be specifically cited as a bearer of the Snodgrass surname.
-
B.
Emily Sargent
Emily Sargent was a British artist and watercolorist, best known for her landscapes and for being part of the culturally prominent Sargent family.
-
C.
Emily Sargent
Emily Sargent was the wife of 19th-century Anglican bishop and prominent public figure Samuel Wilberforce.
-
D.
Maria Ewing
Maria Ewing was an acclaimed American opera singer and actress known for her intense dramatic presence and versatile mezzo-soprano and soprano roles on major international stages.
-
E.
Elizabeth Flanagan
Elizabeth Flanagan was the wife of C. Everett Koop, the prominent U.S. Surgeon General known for his influential public health advocacy.
- 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: Elena Gage Triple: [Nicholas Gage, parentOf, Elena Gage]
Generated description
Elena Gage is the daughter of Greek-American author and journalist Nicholas Gage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Elena Gage Target entity description: Elena Gage is the daughter of Greek-American author and journalist Nicholas Gage.
-
A.
Elizabeth Snodgrass
Elizabeth Snodgrass is a person notable enough to be specifically cited as a bearer of the Snodgrass surname.
-
B.
Emily Sargent
Emily Sargent was a British artist and watercolorist, best known for her landscapes and for being part of the culturally prominent Sargent family.
-
C.
Emily Sargent
Emily Sargent was the wife of 19th-century Anglican bishop and prominent public figure Samuel Wilberforce.
-
D.
Maria Ewing
Maria Ewing was an acclaimed American opera singer and actress known for her intense dramatic presence and versatile mezzo-soprano and soprano roles on major international stages.
-
E.
Elizabeth Flanagan
Elizabeth Flanagan was the wife of C. Everett Koop, the prominent U.S. Surgeon General known for his influential public health advocacy.
- 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_69c68826e6a48190a3d220b541e639de |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2ea459c819095388218d53c250a |
completed | March 27, 2026, 6:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7617566f481908d49d3e285c4fdae |
completed | March 28, 2026, 5:04 a.m. |
| NEDg | Description generation | batch_69c7637e42e4819082c8a01c359e11ce |
completed | March 28, 2026, 5:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c76412b3248190b7515cc7dcee1e8a |
completed | March 28, 2026, 5:16 a.m. |
Created at: March 27, 2026, 2:16 p.m.