Triple
T14942668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Craig Kelly |
E372568
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Ultimate Force
Ultimate Force is a British television drama series that follows the missions and personal lives of an elite SAS unit.
|
E1128349
|
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: Ultimate Force | Statement: [Craig Kelly, notableWork, Ultimate Force]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ultimate Force Context triple: [Craig Kelly, notableWork, Ultimate Force]
-
A.
Ultimate
"Ultimate" is a high-energy hip-hop track by Denzel Curry known for its aggressive delivery, viral popularity, and widespread use in internet memes.
-
B.
Thunder Force
Thunder Force is a 2021 superhero comedy film starring Melissa McCarthy and Octavia Spencer as estranged childhood friends who gain superpowers and team up to fight crime.
-
C.
Killer Force
Killer Force is a 1976 action-thriller film about a security chief investigating a suspected diamond heist at a South African mine.
-
D.
Havoc
Havoc is a 2005 crime drama film about affluent suburban teenagers who become entangled in Los Angeles gang culture.
-
E.
Havoc
Havoc is a downloadable content pack for Call of Duty: Advanced Warfare that adds new multiplayer maps, weapons, and the Exo Zombies mode.
- 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: Ultimate Force Triple: [Craig Kelly, notableWork, Ultimate Force]
Generated description
Ultimate Force is a British television drama series that follows the missions and personal lives of an elite SAS unit.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ultimate Force Target entity description: Ultimate Force is a British television drama series that follows the missions and personal lives of an elite SAS unit.
-
A.
Ultimate
"Ultimate" is a high-energy hip-hop track by Denzel Curry known for its aggressive delivery, viral popularity, and widespread use in internet memes.
-
B.
Thunder Force
Thunder Force is a 2021 superhero comedy film starring Melissa McCarthy and Octavia Spencer as estranged childhood friends who gain superpowers and team up to fight crime.
-
C.
Killer Force
Killer Force is a 1976 action-thriller film about a security chief investigating a suspected diamond heist at a South African mine.
-
D.
Havoc
Havoc is a 2005 crime drama film about affluent suburban teenagers who become entangled in Los Angeles gang culture.
-
E.
Havoc
Havoc is a downloadable content pack for Call of Duty: Advanced Warfare that adds new multiplayer maps, weapons, and the Exo Zombies mode.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded68c1df0819084c0cd61b207d398 |
completed | April 15, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e9484e8819086ca6a59d672e49d |
completed | May 9, 2026, 12:23 a.m. |
| NEDg | Description generation | batch_69fe7f8cdc8c81908c961ffa83cbd19e |
completed | May 9, 2026, 12:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe801d6b048190a7c7e50ad53b1260 |
completed | May 9, 2026, 12:30 a.m. |
Created at: April 10, 2026, 2:38 a.m.