Triple
T14413315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Legend of Hercules |
E357384
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Liam Garrigan |
E1032366
|
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: Liam Garrigan | Statement: [The Legend of Hercules, starring, Liam Garrigan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liam Garrigan Context triple: [The Legend of Hercules, starring, Liam Garrigan]
-
A.
Liam Garrigan
chosen
Liam Garrigan is a British actor known for his roles in film and television, including portraying King Arthur in "Transformers: The Last Knight" and Prince Charming in the series "Once Upon a Time."
-
B.
Liam Lonergan
Liam Lonergan is an Irish businessman best known as one of the founders of the low-cost airline Ryanair.
-
C.
Liam Sweeney
Liam Sweeney is a notable individual recognized for achievements that have brought prominence to the surname Sweeney.
-
D.
Liam O’Flynn
Liam O’Flynn was a renowned Irish uilleann piper and founding member of the influential traditional music group Planxty.
-
E.
Liam Egan
Liam Egan is a composer best known for creating the musical score for the Australian film "Ten Canoes."
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90cb3c708190822f5506ebf7ee9d |
completed | April 14, 2026, 7:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd552858208190ba1550e7c1176a2a |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:17 a.m.