Triple
T6886190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liam Sullivan |
E158924
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Liam Sullivan |
E158924
|
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 Sullivan | Statement: [Liam Sullivan, name, Liam Sullivan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liam Sullivan Context triple: [Liam Sullivan, name, Liam Sullivan]
-
A.
Liam Sullivan
chosen
Liam Sullivan was an American character actor known for his numerous television and film roles from the 1950s through the 1980s, often portraying suave or villainous figures.
-
B.
Liam Lonergan
Liam Lonergan is an Irish businessman best known as one of the founders of the low-cost airline Ryanair.
-
C.
Liam Egan
Liam Egan is a composer best known for creating the musical score for the Australian film "Ten Canoes."
-
D.
Liam O’Connor
Liam O’Connor is a British architect best known for designing prominent public memorials, including the Bomber Command Memorial in London.
-
E.
Brandon Sullivan
Brandon Sullivan is the troubled, sex-addicted protagonist of the 2011 drama film "Shame," portrayed by Michael Fassbender.
- 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_69c688342f6c8190ad7eea6ba262db99 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d90bc32c8190baf5bf785146f3e8 |
completed | March 27, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c742dc8d608190b2a8e9c1f46e1420 |
completed | March 28, 2026, 2:54 a.m. |
Created at: March 27, 2026, 2:23 p.m.