Triple
T15846293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paranormal Activity 4 |
E384221
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Sprague Grayden |
E1135049
|
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: Sprague Grayden | Statement: [Paranormal Activity 4, stars, Sprague Grayden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sprague Grayden Context triple: [Paranormal Activity 4, stars, Sprague Grayden]
-
A.
Sprague Grayden
chosen
Sprague Grayden is an American actress known for her roles in television series such as "Jericho," "Six Feet Under," and "24," as well as in horror films.
-
B.
Jakob Grayson
Jakob Grayson is a fictional character from Joe Hill’s post-apocalyptic novel "The Fireman," set in a world ravaged by a deadly spore that causes spontaneous combustion.
-
C.
Grady
Grady is a masculine given name of Irish origin, often used in English-speaking countries.
-
D.
Nathan Sprague
Nathan Sprague was the husband of Rosetta Douglass, the eldest daughter of abolitionist leader Frederick Douglass.
-
E.
Griffin
The Griffin is the mythical lion-eagle creature that serves as the official mascot of the College of William & Mary, symbolizing the school’s blend of strength, wisdom, and historical heritage.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e14ca636048190bc89cd8b4efa89e9 |
completed | April 16, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa143dcb48190951648edeae6542d |
completed | May 9, 2026, 9:04 p.m. |
Created at: April 10, 2026, 4:50 a.m.