Triple
T6315184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fionn Whitehead |
E141597
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Whitehead |
E224606
|
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: Whitehead | Statement: [Fionn Whitehead, familyName, Whitehead]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Whitehead Context triple: [Fionn Whitehead, familyName, Whitehead]
-
A.
Whitehead
chosen
Whitehead is a small coastal town in County Antrim, Northern Ireland, known for its Victorian architecture and seaside promenade.
-
B.
Bridgman
Bridgman is a surname most notably associated with American physicist and Nobel laureate Percy Williams Bridgman, a pioneer in high-pressure physics.
-
C.
Russell
Russell is a common English surname most famously associated with legendary Boston Celtics basketball player and civil rights activist Bill Russell.
-
D.
Russell
Russell is the enthusiastic young Wilderness Explorer who befriends elderly widower Carl Fredricksen in Pixar's animated film "Up."
-
E.
Russell
Russell is a sharp-tongued, wisecracking young member of the Junkyard Gang in the animated series "Fat Albert and the Cosby Kids."
- 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_69c008d13b8c8190be47d896eb735605 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064a197488190946c4637b3c829a5 |
completed | March 22, 2026, 9:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e478987c819085df63dab784af2a |
completed | March 27, 2026, 1:59 a.m. |
Created at: March 22, 2026, 4:28 p.m.