Triple
T13196647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colin Farrell |
E314127
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Rita Farrell |
E314127
|
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: Rita Farrell | Statement: [Colin Farrell, mother, Rita Farrell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rita Farrell Context triple: [Colin Farrell, mother, Rita Farrell]
-
A.
Rita Farrell
chosen
Rita Farrell is the mother of Irish actor Colin Farrell.
-
B.
Rita Quigley
Rita Quigley was an American film actress active in the late 1930s and 1940s, known for her supporting roles in Hollywood studio productions.
-
C.
Marcia Cavell
Marcia Cavell is an American philosopher and psychoanalyst known for her work on the philosophy of mind, Freud, and the intersections between psychoanalysis and analytic philosophy.
-
D.
Diana Farrell
Diana Farrell is an American economist and former Obama administration official known for her leadership roles in economic policy and global financial strategy, including work on financial crises and competitiveness.
-
E.
Judi Farr
Judi Farr was an Australian actress known for her extensive work in theatre, film, and television, including prominent roles in classic Australian TV comedies and dramas.
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c626058819086f604b11af2d4eb |
completed | April 10, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f605a48c81909373fcd9dd896b3d |
completed | May 3, 2026, 7:15 a.m. |
Created at: April 9, 2026, 9:16 p.m.