Triple
T3281377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ariel |
E68878
|
entity |
| Predicate | containsWork |
P2011
|
FINISHED |
| Object |
The Applicant
The Applicant is a poem by Sylvia Plath that explores themes of gender roles, identity, and the commodification of women in marriage.
|
E343964
|
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: The Applicant | Statement: [Ariel, containsWork, The Applicant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Applicant Context triple: [Ariel, containsWork, The Applicant]
-
A.
The Appeal
The Appeal is a legal thriller novel by John Grisham that explores corporate corruption and the manipulation of the judicial system through a high-stakes Mississippi court case.
-
B.
The Court
"The Court" is a politically charged art-rock song by Peter Gabriel that reflects on themes of justice, accountability, and societal judgment.
-
C.
The Summons
The Summons is a legal thriller novel by John Grisham that follows a law professor who uncovers a mysterious stash of cash among his late father's belongings, drawing him into danger and intrigue.
-
D.
The Employer
The Employer is a thriller film featuring Paige Howard in a prominent role.
-
E.
Hesher
Hesher is a 2010 dark comedy-drama film about a disruptive, anarchic drifter who upends the lives of a grieving family.
- 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: The Applicant Triple: [Ariel, containsWork, The Applicant]
Generated description
The Applicant is a poem by Sylvia Plath that explores themes of gender roles, identity, and the commodification of women in marriage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Applicant Target entity description: The Applicant is a poem by Sylvia Plath that explores themes of gender roles, identity, and the commodification of women in marriage.
-
A.
The Appeal
The Appeal is a legal thriller novel by John Grisham that explores corporate corruption and the manipulation of the judicial system through a high-stakes Mississippi court case.
-
B.
The Court
"The Court" is a politically charged art-rock song by Peter Gabriel that reflects on themes of justice, accountability, and societal judgment.
-
C.
The Summons
The Summons is a legal thriller novel by John Grisham that follows a law professor who uncovers a mysterious stash of cash among his late father's belongings, drawing him into danger and intrigue.
-
D.
The Employer
The Employer is a thriller film featuring Paige Howard in a prominent role.
-
E.
Hesher
Hesher is a 2010 dark comedy-drama film about a disruptive, anarchic drifter who upends the lives of a grieving family.
- 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_69ad859c463481909ca4be267336c290 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb032d76c81909c568a4e56d12ce9 |
completed | March 8, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2e851d2bc8190ba887cd1c81c880d |
completed | March 12, 2026, 4:22 p.m. |
| NEDg | Description generation | batch_69b2e8e42ecc8190b81d1b64f9fba0c1 |
completed | March 12, 2026, 4:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2e954ec18819096f31feb9e985b6a |
completed | March 12, 2026, 4:27 p.m. |
Created at: March 8, 2026, 3:10 p.m.