Triple
T16983607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ashley Brown (Until Dawn) |
E412004
|
entity |
| Predicate | relationshipWith |
P10260
|
FINISHED |
| Object |
Sam (friend)
Sam is a close friend and key companion of Ashley Brown in the horror video game *Until Dawn*, often sharing tense and emotional moments throughout the story.
|
E1243907
|
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: Sam (friend) | Statement: [Ashley Brown (Until Dawn), relationshipWith, Sam (friend)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sam (friend) Context triple: [Ashley Brown (Until Dawn), relationshipWith, Sam (friend)]
-
A.
Sam (character)
Sam is a fictional character associated with the "Wolf" character, often appearing alongside him in animated or narrative works.
-
B.
Sam
Sam is a person whose given name is Sam.
-
C.
Sam
Sam is the iconic, burlap-sack-masked embodiment of Halloween who enforces the holiday’s rules in the Trick 'r Treat horror franchise.
-
D.
Sammy
Sammy is the common nickname for Sigma Alpha Mu, a historically Jewish collegiate social fraternity in North America.
-
E.
Sammy
Sammy is the fictional teenage aspiring filmmaker who serves as the central character and semi-autobiographical stand-in for Steven Spielberg in the film "The Fabelmans."
- 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: Sam (friend) Triple: [Ashley Brown (Until Dawn), relationshipWith, Sam (friend)]
Generated description
Sam is a close friend and key companion of Ashley Brown in the horror video game *Until Dawn*, often sharing tense and emotional moments throughout the story.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sam (friend) Target entity description: Sam is a close friend and key companion of Ashley Brown in the horror video game *Until Dawn*, often sharing tense and emotional moments throughout the story.
-
A.
Sam (character)
Sam is a fictional character associated with the "Wolf" character, often appearing alongside him in animated or narrative works.
-
B.
Sam
Sam is a person whose given name is Sam.
-
C.
Sam
Sam is the iconic, burlap-sack-masked embodiment of Halloween who enforces the holiday’s rules in the Trick 'r Treat horror franchise.
-
D.
Sammy
Sammy is the common nickname for Sigma Alpha Mu, a historically Jewish collegiate social fraternity in North America.
-
E.
Sammy
Sammy is the fictional teenage aspiring filmmaker who serves as the central character and semi-autobiographical stand-in for Steven Spielberg in the film "The Fabelmans."
- 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d188ede48190baead48aac84c78d |
completed | April 18, 2026, 6:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc0f13c88190b55da5be40a0a476 |
completed | May 10, 2026, 7:27 p.m. |
| NEDg | Description generation | batch_6a00dc96a9588190b020fd7fd1deee2b |
completed | May 10, 2026, 7:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0114e04e00819093805024f8417fad |
completed | May 10, 2026, 11:29 p.m. |
Created at: April 10, 2026, 5:32 a.m.