Triple
T15076415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emma Alice Margaret Tennant |
E380011
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Edward Tennant |
E1072444
|
NE FINISHED |
How this triple was built (2 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: Edward Tennant | Statement: [Emma Alice Margaret Tennant, sibling, Edward Tennant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edward Tennant Context triple: [Emma Alice Margaret Tennant, sibling, Edward Tennant]
-
A.
Edward Tennant
chosen
Edward Tennant was a young British poet and aristocrat of the early 20th century, known for his war poetry and his death in World War I.
-
B.
Henry Gayden
Henry Gayden is an American screenwriter best known for writing the superhero film "Shazam!" and its sequel in the DC Extended Universe.
-
C.
Nicholas Gleaves
Nicholas Gleaves is a British actor known for his work in television, film, and theatre, including roles in series such as "Scott & Bailey" and "The Crown."
-
D.
Rupert Farrington
Rupert Farrington is known as the son of Suzanne Farrington, who was the only child of acclaimed English actress Vivien Leigh.
-
E.
Alfred Duggan
Alfred Duggan was a mid-20th-century British historian and novelist best known for his meticulously researched historical novels set in the Roman and medieval periods.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dff7fb60448190b454386dd762644d |
completed | April 15, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed31debb48190908d59178e67adb6 |
completed | May 9, 2026, 6:24 a.m. |
Created at: April 10, 2026, 3:03 a.m.