Triple
T1207807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romper Stomper |
E25928
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
James McKenna
James McKenna is an actor known for his role in the Australian film "Romper Stomper."
|
E184689
|
NE FINISHED |
How this triple was built (4 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: James McKenna | Statement: [Romper Stomper, starring, James McKenna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James McKenna Context triple: [Romper Stomper, starring, James McKenna]
-
A.
Rob McKenna
Rob McKenna is a perpetually rain-plagued lorry driver in Douglas Adams' "So Long, and Thanks for All the Fish," humorously revealed to be a Rain God unknowingly worshipped by clouds.
-
B.
Rob McKenna
Rob McKenna is an American attorney and politician best known for serving as the Attorney General of Washington State.
-
C.
Frank McHugh
Frank McHugh was an American character actor best known for his prolific work in 1930s and 1940s Hollywood films, often playing comic sidekicks and supporting roles.
-
D.
Joe Mullaney
Joe Mullaney was a prominent American basketball coach known for his successful stints in college basketball and the ABA, including leading the Kentucky Colonels.
-
E.
Michael Callaghan
Michael Callaghan is one of the children of former UK Prime Minister James Callaghan.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: James McKenna Triple: [Romper Stomper, starring, James McKenna]
Generated description
James McKenna is an actor known for his role in the Australian film "Romper Stomper."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: James McKenna Target entity description: James McKenna is an actor known for his role in the Australian film "Romper Stomper."
-
A.
Rob McKenna
Rob McKenna is a perpetually rain-plagued lorry driver in Douglas Adams' "So Long, and Thanks for All the Fish," humorously revealed to be a Rain God unknowingly worshipped by clouds.
-
B.
Rob McKenna
Rob McKenna is an American attorney and politician best known for serving as the Attorney General of Washington State.
-
C.
Frank McHugh
Frank McHugh was an American character actor best known for his prolific work in 1930s and 1940s Hollywood films, often playing comic sidekicks and supporting roles.
-
D.
Joe Mullaney
Joe Mullaney was a prominent American basketball coach known for his successful stints in college basketball and the ABA, including leading the Kentucky Colonels.
-
E.
Michael Callaghan
Michael Callaghan is one of the children of former UK Prime Minister James Callaghan.
- F. None of above. chosen
Provenance (5 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_69a4942b30f08190a91c60573e16b5ef |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bdc483b481908e5bfef5d2f4fc5a |
completed | March 1, 2026, 10:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad58a6e0088190b35258a6accb0440 |
completed | March 8, 2026, 11:08 a.m. |
| NEDg | Description generation | batch_69ad5a2d88648190aa22744e4d9ac9d2 |
completed | March 8, 2026, 11:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad5ad5f50c81908541eb94bb1236b6 |
completed | March 8, 2026, 11:17 a.m. |
Created at: March 1, 2026, 7:46 p.m.