Triple
T5692987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forgetting Sarah Marshall |
E125469
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Rachel Jansen
Rachel Jansen is a kind-hearted hotel receptionist in Hawaii who becomes the new love interest of the heartbroken protagonist in the romantic comedy film "Forgetting Sarah Marshall."
|
E557677
|
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: Rachel Jansen | Statement: [Forgetting Sarah Marshall, mainCharacter, Rachel Jansen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rachel Jansen Context triple: [Forgetting Sarah Marshall, mainCharacter, Rachel Jansen]
-
A.
Rachel Schpitendavel
Rachel Schpitendavel is a fictional character from the 1968 burlesque-themed comedy film "The Night They Raided Minsky's."
-
B.
Virginia Jansen
Virginia Jansen is known as the spouse of American choral and orchestral conductor Robert Shaw.
-
C.
Tessa Berens
Tessa Berens is a fictional character from the work titled "The Silence."
-
D.
Emily de Jongh-Elhage
Emily de Jongh-Elhage is a Curaçaoan politician who served as the final head of government of the Netherlands Antilles before its dissolution in 2010.
-
E.
Sarah Junner
Sarah Junner was the mother of British archaeologist, soldier, and writer T. E. Lawrence, better known as "Lawrence of Arabia."
- 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: Rachel Jansen Triple: [Forgetting Sarah Marshall, mainCharacter, Rachel Jansen]
Generated description
Rachel Jansen is a kind-hearted hotel receptionist in Hawaii who becomes the new love interest of the heartbroken protagonist in the romantic comedy film "Forgetting Sarah Marshall."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rachel Jansen Target entity description: Rachel Jansen is a kind-hearted hotel receptionist in Hawaii who becomes the new love interest of the heartbroken protagonist in the romantic comedy film "Forgetting Sarah Marshall."
-
A.
Rachel Schpitendavel
Rachel Schpitendavel is a fictional character from the 1968 burlesque-themed comedy film "The Night They Raided Minsky's."
-
B.
Virginia Jansen
Virginia Jansen is known as the spouse of American choral and orchestral conductor Robert Shaw.
-
C.
Tessa Berens
Tessa Berens is a fictional character from the work titled "The Silence."
-
D.
Emily de Jongh-Elhage
Emily de Jongh-Elhage is a Curaçaoan politician who served as the final head of government of the Netherlands Antilles before its dissolution in 2010.
-
E.
Sarah Junner
Sarah Junner was the mother of British archaeologist, soldier, and writer T. E. Lawrence, better known as "Lawrence of Arabia."
- 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_69c0082bb19c8190823a4facd3cba79b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c023e678c48190824d35d276985311 |
completed | March 22, 2026, 5:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e32cce548190898c735f8c494415 |
completed | March 23, 2026, 6:52 a.m. |
| NEDg | Description generation | batch_69c0e66e96c481909133503f553d4bc4 |
completed | March 23, 2026, 7:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0e6c3ec548190814b44fe953ab25e |
completed | March 23, 2026, 7:07 a.m. |
Created at: March 22, 2026, 3:44 p.m.