Triple
T17018383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Final Girls |
E412879
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Lauren Gros
Lauren Gros is an actress known for appearing in the horror-comedy film "The Final Girls."
|
E1418976
|
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 Gros | Statement: [The Final Girls, castMember, Lauren Gros]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lauren Gros Context triple: [The Final Girls, castMember, Lauren Gros]
-
A.
Lauren Greer
Lauren Greer is a notable individual recognized for achievements significant enough to be associated with the surname Greer.
-
B.
Lauren Harris
Lauren Harris is a central character in the British television drama series "Fat Friends," which follows the lives, relationships, and weight-loss struggles of members of a slimming club in Leeds.
-
C.
Lauren Gross
Lauren Gross is a venture capitalist and partner at the Silicon Valley investment firm Founders Fund.
-
D.
Lauren Stamile
Lauren Stamile is an American actress known for her television work, including recurring roles on series such as Grey's Anatomy, Community, and Burn Notice.
-
E.
Lauren Tewes
Lauren Tewes is an American actress best known for playing cruise director Julie McCoy on the television series "The Love Boat."
- 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 Gros Triple: [The Final Girls, castMember, Lauren Gros]
Generated description
Lauren Gros is an actress known for appearing in the horror-comedy film "The Final Girls."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lauren Gros Target entity description: Lauren Gros is an actress known for appearing in the horror-comedy film "The Final Girls."
-
A.
Lauren Greer
Lauren Greer is a notable individual recognized for achievements significant enough to be associated with the surname Greer.
-
B.
Lauren Harris
Lauren Harris is a central character in the British television drama series "Fat Friends," which follows the lives, relationships, and weight-loss struggles of members of a slimming club in Leeds.
-
C.
Lauren Gross
Lauren Gross is a venture capitalist and partner at the Silicon Valley investment firm Founders Fund.
-
D.
Lauren Stamile
Lauren Stamile is an American actress known for her television work, including recurring roles on series such as Grey's Anatomy, Community, and Burn Notice.
-
E.
Lauren Tewes
Lauren Tewes is an American actress best known for playing cruise director Julie McCoy on the television series "The Love Boat."
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d480a58c8190a3912d26debb4311 |
completed | April 18, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a084b6ee5788190abc51a6ee4123ba3 |
completed | May 16, 2026, 10:48 a.m. |
| NEDg | Description generation | batch_6a084be2bcc88190b7d369c07da59c11 |
completed | May 16, 2026, 10:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a084c99487c81908dd132f118846f0c |
completed | May 16, 2026, 10:53 a.m. |
Created at: April 10, 2026, 5:33 a.m.