Triple
T15731239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paranormal Activity 3 |
E381348
|
entity |
| Predicate | mainCastMember |
P5563
|
FINISHED |
| Object |
Lauren Bittner
Lauren Bittner is an American actress best known for her role in the horror film "Paranormal Activity 3."
|
E1383861
|
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: Lauren Bittner | Statement: [Paranormal Activity 3, mainCastMember, Lauren Bittner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lauren Bittner Context triple: [Paranormal Activity 3, mainCastMember, Lauren Bittner]
-
A.
Lauren Bennett
Lauren Bennett is a British singer and model best known for her vocal feature on LMFAO's global hit "Party Rock Anthem" and as a member of the girl group G.R.L.
-
B.
Lauren Dalby
Lauren Dalby is a fictional astronaut and key crew member featured in the science fiction horror film "The Last Days on Mars."
-
C.
Lauren Gross
Lauren Gross is a venture capitalist and partner at the Silicon Valley investment firm Founders Fund.
-
D.
Lauren Heller
Lauren Heller is one of the central sisters whose complicated personal and professional life drives much of the drama and humor in the TV series "Younger."
-
E.
Lauren Dolgen
Lauren Dolgen is a television producer best known for developing and producing MTV’s teen pregnancy reality franchise, including "16 and Pregnant" and its spin-offs.
- 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: Lauren Bittner Triple: [Paranormal Activity 3, mainCastMember, Lauren Bittner]
Generated description
Lauren Bittner is an American actress best known for her role in the horror film "Paranormal Activity 3."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lauren Bittner Target entity description: Lauren Bittner is an American actress best known for her role in the horror film "Paranormal Activity 3."
-
A.
Lauren Bennett
Lauren Bennett is a British singer and model best known for her vocal feature on LMFAO's global hit "Party Rock Anthem" and as a member of the girl group G.R.L.
-
B.
Lauren Dalby
Lauren Dalby is a fictional astronaut and key crew member featured in the science fiction horror film "The Last Days on Mars."
-
C.
Lauren Gross
Lauren Gross is a venture capitalist and partner at the Silicon Valley investment firm Founders Fund.
-
D.
Lauren Heller
Lauren Heller is one of the central sisters whose complicated personal and professional life drives much of the drama and humor in the TV series "Younger."
-
E.
Lauren Dolgen
Lauren Dolgen is a television producer best known for developing and producing MTV’s teen pregnancy reality franchise, including "16 and Pregnant" and its spin-offs.
- 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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fb61cb881908b158609c1ccfa1e |
completed | April 16, 2026, 2:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0757617d188190bca3b093b6230405 |
completed | May 15, 2026, 5:26 p.m. |
| NEDg | Description generation | batch_6a07583fc26481908bd2f00c19f3b4cd |
completed | May 15, 2026, 5:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07594a23ac81908807df4605555d3f |
completed | May 15, 2026, 5:35 p.m. |
Created at: April 10, 2026, 4:46 a.m.