Triple
T5532813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas Chainsaw 3D |
E145088
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Kirsten Elms
Kirsten Elms is a screenwriter best known for co-writing the horror film "Texas Chainsaw 3D."
|
E555490
|
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: Kirsten Elms | Statement: [Texas Chainsaw 3D, screenwriter, Kirsten Elms]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kirsten Elms Context triple: [Texas Chainsaw 3D, screenwriter, Kirsten Elms]
-
A.
Kirsten Corley
Kirsten Corley is an American former model and real estate agent best known as the wife of hip-hop artist Chance the Rapper.
-
B.
Kirsten Downey
Kirsten Downey is an American journalist and biographer known for her work at The Washington Post and for writing acclaimed historical biographies such as "The Woman Behind the New Deal."
-
C.
Joanna Kerns
Joanna Kerns is an American actress best known for playing the mother, Maggie Seaver, on the 1980s television sitcom "Growing Pains."
-
D.
Kirsten Mehr
Kirsten Mehr is the German-born wife of British politician and former UKIP leader Nigel Farage.
-
E.
Kristen Maloney
Kristen Maloney is an American artistic gymnast and Olympic medalist who competed for the U.S. national team and later starred as a collegiate gymnast for UCLA.
- 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: Kirsten Elms Triple: [Texas Chainsaw 3D, screenwriter, Kirsten Elms]
Generated description
Kirsten Elms is a screenwriter best known for co-writing the horror film "Texas Chainsaw 3D."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kirsten Elms Target entity description: Kirsten Elms is a screenwriter best known for co-writing the horror film "Texas Chainsaw 3D."
-
A.
Kirsten Corley
Kirsten Corley is an American former model and real estate agent best known as the wife of hip-hop artist Chance the Rapper.
-
B.
Kirsten Downey
Kirsten Downey is an American journalist and biographer known for her work at The Washington Post and for writing acclaimed historical biographies such as "The Woman Behind the New Deal."
-
C.
Joanna Kerns
Joanna Kerns is an American actress best known for playing the mother, Maggie Seaver, on the 1980s television sitcom "Growing Pains."
-
D.
Kirsten Mehr
Kirsten Mehr is the German-born wife of British politician and former UKIP leader Nigel Farage.
-
E.
Kristen Maloney
Kristen Maloney is an American artistic gymnast and Olympic medalist who competed for the U.S. national team and later starred as a collegiate gymnast for UCLA.
- 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_69c008f9955881909bfa8348b56b4739 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f9ea2c88190a68642f5799bd8ff |
completed | March 22, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0bf51ea0481909af918fe00633b80 |
completed | March 23, 2026, 4:19 a.m. |
| NEDg | Description generation | batch_69c0c0ca548c81908382dbba5f440847 |
completed | March 23, 2026, 4:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0c19e5ef08190abe26030e24b4d91 |
completed | March 23, 2026, 4:29 a.m. |
Created at: March 22, 2026, 3:34 p.m.