Triple
T24025404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Woman (Death of a Salesman) |
E594941
|
entity |
| Predicate | relationshipToWillyLoman |
P154910
|
FINISHED |
| Object | extramarital affair partner |
—
|
LITERAL FINISHED |
How this triple was built (2 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: extramarital affair partner | Statement: [The Woman (Death of a Salesman), relationshipToWillyLoman, extramarital affair partner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToWillyLoman Context triple: [The Woman (Death of a Salesman), relationshipToWillyLoman, extramarital affair partner]
-
A.
relationshipToWalterNeff
Indicates that one entity has a specified personal or relational connection to Walter Neff.
-
B.
relationshipToEvanHansen
Indicates the type or nature of a person's relationship or connection to Evan Hansen.
-
C.
relationshipToBlancheDevereaux
Indicates the specific type of personal or familial relationship an entity has with Blanche Devereaux.
-
D.
relationshipToWilbur
Indicates a specified type of relationship or connection that an entity has to Wilbur.
-
E.
relationshipWithJamesTyrone
Indicates a personal or familial connection that an entity has with James Tyrone.
- F. None of above. chosen
Provenance (4 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_69e288be2c288190a3a46006945557f7 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d76ada608190a9b63d07c2fa90d4 |
completed | April 29, 2026, 10:03 a.m. |
| PD | Predicate disambiguation | batch_69f17639d23c8190bed93434e2f9230a |
completed | April 29, 2026, 3:08 a.m. |
| PDg | Predicate description generation | batch_69f17c28b684819084eea522126463f8 |
completed | April 29, 2026, 3:34 a.m. |
Created at: April 17, 2026, 9:53 p.m.