Triple
T8582496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lisa Harrow |
E203216
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Tim Neill |
E492785
|
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: Tim Neill | Statement: [Lisa Harrow, hasChild, Tim Neill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tim Neill Context triple: [Lisa Harrow, hasChild, Tim Neill]
-
A.
Tim Neill
chosen
Tim Neill is one of the children of acclaimed New Zealand actor Sam Neill.
-
B.
Chris Neill
Chris Neill is a British comedian and radio performer known for his work on BBC Radio 4 comedy programmes.
-
C.
Jeff O’Neill
Jeff O’Neill is a former Canadian NHL forward, best known for his time with the Hartford Whalers/Carolina Hurricanes and Toronto Maple Leafs, who later became a hockey analyst and broadcaster.
-
D.
Brett Neeleman
Brett Neeleman is a Brazilian-American businessman known for his executive roles in the airline industry and as a member of the Neeleman family associated with multiple airline ventures.
-
E.
Geoff Neal
Geoff Neal is an American mixed martial artist and powerful striker who competes in the UFC welterweight division.
- 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_69ca8329bb7c8190a63c643730839103 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbeb1d0edc8190b4495935275252f3 |
completed | March 31, 2026, 3:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce89b6d7f081908eecf0dd901e6bef |
completed | April 2, 2026, 3:22 p.m. |
Created at: March 30, 2026, 6:22 p.m.