Triple
T18508386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben Affleck as Bobby Walker |
E452260
|
entity |
| Predicate | worksForLaterInStory |
P117048
|
FINISHED |
| Object | company owned by his brother-in-law |
—
|
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: company owned by his brother-in-law | Statement: [Ben Affleck as Bobby Walker, worksForLaterInStory, company owned by his brother-in-law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worksForLaterInStory Context triple: [Ben Affleck as Bobby Walker, worksForLaterInStory, company owned by his brother-in-law]
-
A.
shortStoryLaterCollectedIn
Indicates that a short story was originally published independently and was subsequently included in a later collected volume or anthology.
-
B.
laterWork
Indicates that one work was created, published, or produced after another work in time.
-
C.
laterWorkBy
Indicates that one work was created after another work by the same creator or author.
-
D.
futureTitleInStory
chosen
Indicates that an entity will hold a specified title or role at a later point in the narrative timeline of the story.
-
E.
isStoried
Indicates that something has a rich history, reputation, or legacy built up over time, often marked by notable events or traditions.
- F. None of above.
Provenance (3 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_69d8d386df84819092355ebb260d848e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53344033c8190a0883aef56ba79c3 |
completed | April 19, 2026, 7:55 p.m. |
| PD | Predicate disambiguation | batch_69e469dbf5208190b6fc49e02a087f54 |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:36 a.m.