Triple
T6333941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph Cooper |
E142445
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Tom Cooper |
E143039
|
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: Tom Cooper | Statement: [Joseph Cooper, hasChild, Tom Cooper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Cooper Context triple: [Joseph Cooper, hasChild, Tom Cooper]
-
A.
Tom Cooper
chosen
Tom Cooper is the young son of protagonist Joseph Cooper in the science fiction film "Interstellar," representing the grounded, agrarian side of humanity’s struggle to survive on a dying Earth.
-
B.
Bill Mitchell
Bill Mitchell was a prominent American automobile designer and General Motors styling chief known for shaping many iconic mid-20th-century cars.
-
C.
John Hewson
John Hewson is an Australian economist and former politician best known for leading the Liberal Party and serving as Leader of the Opposition in the early 1990s.
-
D.
Ian Simpson
Ian Simpson is a British architect best known for designing prominent contemporary buildings in Manchester, including the landmark Beetham Tower.
-
E.
Steve Abbott
Steve Abbott is a British film producer best known for his work on major comedies, including collaborations with the Monty Python team.
- 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_69c008d4d8e88190ad301c05b08722ac |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06517a1e88190a0bfcac8a7e3a305 |
completed | March 22, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c60424a5dc8190820970fce13776ac |
completed | March 27, 2026, 4:14 a.m. |
Created at: March 22, 2026, 4:30 p.m.