Triple
T16580476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cheat |
E402813
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Tom Goodman-Hill |
E788103
|
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 Goodman-Hill | Statement: [Cheat, stars, Tom Goodman-Hill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Goodman-Hill Context triple: [Cheat, stars, Tom Goodman-Hill]
-
A.
Tom Goodman-Hill
chosen
Tom Goodman-Hill is a British actor known for his work in television, film, and theatre, including roles in series such as "Humans" and "Mr Selfridge."
-
B.
Alastair Hignell
Alastair Hignell is a former England rugby union international, first-class cricketer, and later a respected sports broadcaster and advocate for multiple sclerosis awareness.
-
C.
Alec Troup
Alec Troup was a Scottish professional footballer known for playing as a winger in the early 20th century.
-
D.
Mark Goodacre
Mark Goodacre is a New Testament scholar known for his influential work on the Synoptic Problem and advocacy of the Farrer hypothesis, particularly through his research on the relationships among the Gospels.
-
E.
Graham Hess
Graham Hess is a former Episcopal priest and widowed father who struggles with his faith while protecting his family during a mysterious alien invasion in the film "Signs."
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35960834c819080eed0c9f32b881d |
completed | April 18, 2026, 10:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006ef0bc4c8190b06b03c06d344abf |
completed | May 10, 2026, 11:41 a.m. |
Created at: April 10, 2026, 5:16 a.m.