Triple
T19983054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Man Up |
E493864
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Tess Morris
Tess Morris is a British screenwriter best known for writing the romantic comedy film "Man Up."
|
E1403763
|
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: Tess Morris | Statement: [Man Up, screenwriter, Tess Morris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tess Morris Context triple: [Man Up, screenwriter, Tess Morris]
-
A.
Tess Harper
Tess Harper is an American actress known for her work in film and television, including acclaimed roles in projects like "Crimes of the Heart" and "Tender Mercies."
-
B.
Tess Harding
Tess Harding is the sophisticated, career-driven political columnist portrayed by Katharine Hepburn in the 1942 film "Woman of the Year."
-
C.
Tess Carlisle
Tess Carlisle is the wealthy, strong-willed widow of a U.S. senator whose contentious relationship with her Secret Service detail drives the plot of the film "Guarding Tess."
-
D.
Tess McGill
Tess McGill is the ambitious, street-smart Staten Island secretary who fights to advance her career in the 1988 film "Working Girl."
-
E.
Tess Pearson
Tess Pearson is a fictional character from the television drama "This Is Us," known as the eldest daughter of Randall and Beth Pearson.
- 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: Tess Morris Triple: [Man Up, screenwriter, Tess Morris]
Generated description
Tess Morris is a British screenwriter best known for writing the romantic comedy film "Man Up."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tess Morris Target entity description: Tess Morris is a British screenwriter best known for writing the romantic comedy film "Man Up."
-
A.
Tess Harper
Tess Harper is an American actress known for her work in film and television, including acclaimed roles in projects like "Crimes of the Heart" and "Tender Mercies."
-
B.
Tess Harding
Tess Harding is the sophisticated, career-driven political columnist portrayed by Katharine Hepburn in the 1942 film "Woman of the Year."
-
C.
Tess Carlisle
Tess Carlisle is the wealthy, strong-willed widow of a U.S. senator whose contentious relationship with her Secret Service detail drives the plot of the film "Guarding Tess."
-
D.
Tess McGill
Tess McGill is the ambitious, street-smart Staten Island secretary who fights to advance her career in the 1988 film "Working Girl."
-
E.
Tess Pearson
Tess Pearson is a fictional character from the television drama "This Is Us," known as the eldest daughter of Randall and Beth Pearson.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65d14c3c08190b1ba8f4da08a4ccf |
completed | April 20, 2026, 5:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07fdddbf5c81908e194fb1d6c31e15 |
completed | May 16, 2026, 5:17 a.m. |
| NEDg | Description generation | batch_6a07fea23a988190832115346f8889ca |
completed | May 16, 2026, 5:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07ff4a59608190a17f30f60c879efc |
completed | May 16, 2026, 5:23 a.m. |
Created at: April 11, 2026, 3:28 p.m.