Triple
T18378132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarzan's Greatest Adventure |
E446369
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Niall MacGinnis |
—
|
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: Niall MacGinnis | Statement: [Tarzan's Greatest Adventure, starring, Niall MacGinnis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Niall MacGinnis Context triple: [Tarzan's Greatest Adventure, starring, Niall MacGinnis]
-
A.
Niall MacGinnis
chosen
Niall MacGinnis was an Irish actor known for his character roles in mid-20th-century British and American films, including notable performances in historical dramas and horror movies.
-
B.
Niall MacDermott
Niall MacDermott is a notable individual who bears the Irish surname MacDermott, associated with the historic MacDermot family lineage.
-
C.
Niall Cunningham
Niall Cunningham is an American actor best known for his role as Tyler Hughes on the CBS sitcom "Life in Pieces."
-
D.
Niall O’Brien
Niall O’Brien is an actor known for his role in the film "The Legend of 1900."
-
E.
Greg McHugh
Greg McHugh is a Scottish actor and writer best known for creating and starring in the comedy series "Gary: Tank Commander" and for roles in shows such as "Fresh Meat."
- 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e5179919c881908d55ea24f93c5827 |
completed | April 19, 2026, 5:57 p.m. |
Created at: April 10, 2026, 10:45 a.m.