Triple
T13465902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Axel Paulin Ferrell |
E311498
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Ferrell |
E969124
|
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: Ferrell | Statement: [Axel Paulin Ferrell, familyName, Ferrell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ferrell Context triple: [Axel Paulin Ferrell, familyName, Ferrell]
-
A.
Ferrell
chosen
Ferrell is the surname of American actress Conchata Ferrell, best known for her role as Berta on the television sitcom "Two and a Half Men."
-
B.
Magnus Paulin Ferrell
Magnus Paulin Ferrell is the son of Swedish actress Viveca Paulin and American comedian and actor Will Ferrell.
-
C.
Will Ferrell
Will Ferrell is an American comedian, actor, writer, and producer best known for his work on "Saturday Night Live" and a series of hit comedy films such as "Anchorman" and "Elf."
-
D.
Will Forte
Will Forte is an American actor, comedian, and writer best known for his work on "Saturday Night Live" and for creating and starring in the TV series "The Last Man on Earth."
-
E.
Rob Riggle
Rob Riggle is an American actor, comedian, and former Marine officer known for his energetic, often over-the-top roles in film and television comedies.
- 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf101a1081909f2aba6da47baacc |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f746282318819090e47c324807dc1e |
completed | May 3, 2026, 12:57 p.m. |
Created at: April 9, 2026, 9:41 p.m.