Triple
T37835398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Game of Thrones: A Telltale Games Series – Season 1 |
E943323
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Ethan Forrester
Ethan Forrester is a young lord of House Forrester and a central playable character in the first season of Telltale Games' narrative-driven Game of Thrones adaptation.
|
E2245678
|
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: Ethan Forrester | Statement: [Game of Thrones: A Telltale Games Series – Season 1, hasCharacter, Ethan Forrester]
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: Ethan Forrester Triple: [Game of Thrones: A Telltale Games Series – Season 1, hasCharacter, Ethan Forrester]
Generated description
Ethan Forrester is a young lord of House Forrester and a central playable character in the first season of Telltale Games' narrative-driven Game of Thrones adaptation.
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_69f76eeb0f7081908d6d3adbc469889c |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbb1f266cc8190b99aae964a3e099d |
completed | May 6, 2026, 9:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a40fb858c688190a3c762068bf97993 |
completed | June 28, 2026, 10:46 a.m. |
| NEDg | Description generation | batch_6a40fc1014b481909d49228689c8a7d7 |
completed | June 28, 2026, 10:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a40fd1546c081909e9ceebadb9ef51a |
completed | June 28, 2026, 10:53 a.m. |
Created at: May 3, 2026, 4:19 p.m.