Triple
T20921891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert McFarlane |
E515229
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | McFarlane |
—
|
NE NERFINISHED |
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: McFarlane | Statement: [Robert McFarlane, familyName, McFarlane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: McFarlane Context triple: [Robert McFarlane, familyName, McFarlane]
-
A.
McFarlane
chosen
McFarlane is a Scottish surname associated with Clan MacFarlane, a historic Highland clan from the area around Loch Lomond.
-
B.
Kenner Products
Kenner Products was an American toy company best known for producing popular licensed toy lines such as the original Star Wars action figures.
-
C.
Kenner
Kenner is a suburban city in the New Orleans metropolitan area of Louisiana, known for its proximity to Louis Armstrong New Orleans International Airport and the Mississippi River.
-
D.
MacMillan Toy Company
MacMillan Toy Company is the fictional New York toy manufacturer featured in the film "Big," where the adult version of Josh Baskin works and helps design popular toys.
-
E.
Zaks
Zaks is a surname most notably associated with Jerry Zaks, a prominent American theater director and actor.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4fb431c8190b9d40e6a72f0cc87 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f64e56bc81908aa86f2176fcc0db |
completed | April 21, 2026, 4 a.m. |
Created at: April 16, 2026, 12:48 p.m.