Triple
T11172666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oliver! |
E264322
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Mark Lester
Mark Lester is a British former child actor best known for playing the title role in the 1968 musical film "Oliver!".
|
E908974
|
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: Mark Lester | Statement: [Oliver!, starring, Mark Lester]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Lester Context triple: [Oliver!, starring, Mark Lester]
-
A.
Jon Lovett
Jon Lovett is an American podcaster, comedian, and former speechwriter best known as a co-founder and host of the political podcast network Crooked Media and its flagship show "Pod Save America."
-
B.
Michael Coulter
Michael Coulter is a British cinematographer known for his work on popular films including the romantic comedy "Love Actually."
-
C.
Todd Stewart
Todd Stewart is a collegiate sports administrator best known for serving as the athletic director at Western Kentucky University.
-
D.
Ron Stewart
Ron Stewart was a standout Canadian Football League running back best known for his long and successful career with the Ottawa Rough Riders.
-
E.
Eric Costello
Eric Costello is a technology entrepreneur best known as one of the co-founders of the workplace communication platform Slack.
- 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: Mark Lester Triple: [Oliver!, starring, Mark Lester]
Generated description
Mark Lester is a British former child actor best known for playing the title role in the 1968 musical film "Oliver!".
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mark Lester Target entity description: Mark Lester is a British former child actor best known for playing the title role in the 1968 musical film "Oliver!".
-
A.
Jon Lovett
Jon Lovett is an American podcaster, comedian, and former speechwriter best known as a co-founder and host of the political podcast network Crooked Media and its flagship show "Pod Save America."
-
B.
Michael Coulter
Michael Coulter is a British cinematographer known for his work on popular films including the romantic comedy "Love Actually."
-
C.
Todd Stewart
Todd Stewart is a collegiate sports administrator best known for serving as the athletic director at Western Kentucky University.
-
D.
Ron Stewart
Ron Stewart was a standout Canadian Football League running back best known for his long and successful career with the Ottawa Rough Riders.
-
E.
Eric Costello
Eric Costello is a technology entrepreneur best known as one of the co-founders of the workplace communication platform Slack.
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e89660208190b1d9e91529f5d246 |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e463c03a948190b0f40f657180c9bf |
completed | April 19, 2026, 5:10 a.m. |
| NEDg | Description generation | batch_69e46c37efec81908aa709587c37569d |
completed | April 19, 2026, 5:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e47292cdd08190b05c4c8b09f4f918 |
completed | April 19, 2026, 6:13 a.m. |
Created at: April 8, 2026, 9:29 p.m.