Triple
T1942143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rachael MacFarlane |
E41578
|
entity |
| Predicate | voiceRole |
P12691
|
FINISHED |
| Object | Hayley Smith |
E122681
|
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: Hayley Smith | Statement: [Rachael MacFarlane, voiceRole, Hayley Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hayley Smith Context triple: [Rachael MacFarlane, voiceRole, Hayley Smith]
-
A.
Hayley Smith
chosen
Hayley Smith is a politically liberal, rebellious college-aged character from the animated TV series "American Dad!", known as the daughter of Stan and Francine Smith.
-
B.
Hayley McFarland
Hayley McFarland is an American actress best known for her roles in horror and drama projects, including a supporting role in the film "The Conjuring" and appearances on television series such as "Lie to Me."
-
C.
Kimberlea Cloughley
Kimberlea Cloughley is an American photographer best known for her marriage to actor Tommy Lee Jones.
-
D.
Megan Holley
Megan Holley is an American screenwriter best known for writing the indie dramedy film "Sunshine Cleaning."
-
E.
Hayley
Hayley is a Canadian former ice hockey player widely regarded as one of the greatest female hockey players of all time.
- 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_69a88649b24c819080047f26b6db2ded |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb2fc98e881909a539c0ebf842d8b |
completed | March 7, 2026, 5:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aea8405a58819096dc1eeea8fc0b93 |
completed | March 9, 2026, 11 a.m. |
Created at: March 4, 2026, 7:36 p.m.