Triple
T9318382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ron MacFarlane |
E224179
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Rachael MacFarlane |
E41578
|
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: Rachael MacFarlane | Statement: [Ron MacFarlane, hasChild, Rachael MacFarlane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rachael MacFarlane Context triple: [Ron MacFarlane, hasChild, Rachael MacFarlane]
-
A.
Rachael MacFarlane
chosen
Rachael MacFarlane is an American voice actress and singer best known for her work on animated television series, including voicing Hayley Smith on "American Dad!"
-
B.
Suzanne Mackie
Suzanne Mackie is a British television and film producer known for her work on acclaimed projects such as "The Crown" and other high-profile UK dramas.
-
C.
Rachael Stirling
Rachael Stirling is a British actress known for her work in television, film, and theatre, including prominent roles in series such as "Detectorists" and "Tipping the Velvet."
-
D.
Jocelyn Ritchie
Jocelyn Ritchie is a musician best known for her collaborative work with American rock-rap artist Kid Rock.
-
E.
Bridget Christie
Bridget Christie is a British stand-up comedian, writer, and actress known for her sharp, often feminist-leaning comedy and acclaimed radio and television work.
- 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_69ca8426d48481909596360f7791c7dd |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd358b66148190a918c107490c8406 |
completed | April 1, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d110165800819085d05101a84313d1 |
completed | April 4, 2026, 1:20 p.m. |
Created at: March 30, 2026, 7:38 p.m.