Triple
T13309747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johnny Eager |
E317028
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Liam O’Brien |
E719471
|
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 O’Brien | Statement: [Johnny Eager, screenwriter, Liam O’Brien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liam O’Brien Context triple: [Johnny Eager, screenwriter, Liam O’Brien]
-
A.
Liam O'Brien
chosen
Liam O'Brien was an American screenwriter and playwright known for his work on mid-20th-century Hollywood films and stage productions.
-
B.
Liam O’Connor
Liam O’Connor is a British architect best known for designing prominent public memorials, including the Bomber Command Memorial in London.
-
C.
Liam Lonergan
Liam Lonergan is an Irish businessman best known as one of the founders of the low-cost airline Ryanair.
-
D.
Liam O'Donnell
Liam O'Donnell is a filmmaker and screenwriter best known for co-writing and directing the science fiction alien-invasion film series that began with "Skyline."
-
E.
Liam O’Neal
Liam O’Neal is a member of the group or organization known as Mobius.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990f56abc8190951774a999e2ce11 |
completed | April 11, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76b9c0c088190ba18b5c631bcc365 |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:29 p.m.