Triple
T14653610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Other Half |
E344052
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Tom Cullen |
E1031460
|
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: Tom Cullen | Statement: [The Other Half, starring, Tom Cullen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Cullen Context triple: [The Other Half, starring, Tom Cullen]
-
A.
Tom Cullen
Tom Cullen is a gentle, intellectually disabled yet perceptive survivor from Stephen King’s post-apocalyptic novel "The Stand," known for his childlike innocence and crucial role in the struggle between good and evil.
-
B.
Tom Cullen
chosen
Tom Cullen is a British actor known for his roles in film and television, including prominent appearances in series like "Downton Abbey" and "Knightfall."
-
C.
Tom Cullen
Tom Cullen is a co-founder of Sonos, the company known for pioneering wireless multi-room home audio systems.
-
D.
John Cullen
John Cullen is a former professional ice hockey goaltender best known for his standout collegiate career with the Boston University Terriers and subsequent play in the NHL.
-
E.
John Cullen
John Cullen is a former NHL center known for his high-scoring play in the late 1980s and early 1990s, particularly with the Pittsburgh Penguins.
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb518f7dc8190877997ea4cd3eed2 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5db85648190b0e5b1c0827fa9f4 |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 10, 2026, 1:27 a.m.