Triple
T2864988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeremy Irvine |
E63416
|
entity |
| Predicate | portrayed |
P1668
|
FINISHED |
| Object | Albert Narracott |
E190436
|
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: Albert Narracott | Statement: [Jeremy Irvine, portrayed, Albert Narracott]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Albert Narracott Context triple: [Jeremy Irvine, portrayed, Albert Narracott]
-
A.
Albert Narracott
chosen
Albert Narracott is the young English farm boy whose deep bond with his horse Joey drives the emotional core of Michael Morpurgo’s World War I novel "War Horse."
-
B.
Ted Narracott
Ted Narracott is a struggling English farmer and World War I veteran whose purchase of a horse profoundly affects his family in Michael Morpurgo’s "War Horse."
-
C.
Charles Jervas
Charles Jervas was an Irish portrait painter and translator of Cervantes who became a prominent figure in early 18th-century London’s artistic and literary circles.
-
D.
Allan Swift
Allan Swift was an American voice actor and radio personality known for his work in animated television specials and commercials.
-
E.
Richard Greatrex
Richard Greatrex is a British cinematographer best known for his Academy Award-nominated work on the film "Shakespeare in Love."
- 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_69ab4c42fb8c8190b36e161d47c03b81 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdfb9e64c819087b1a47caeb174d5 |
completed | March 7, 2026, 8:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b01da458ec8190ae07237d7e23b302 |
completed | March 10, 2026, 1:33 p.m. |
Created at: March 6, 2026, 10:02 p.m.