Triple
T5564566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Une enfant du siècle |
E145849
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Factory Girl |
E346634
|
NE 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: Factory Girl | Statement: [Une enfant du siècle, hasTrack, Factory Girl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Factory Girl Context triple: [Une enfant du siècle, hasTrack, Factory Girl]
-
A.
Factory Girl
chosen
Factory Girl is a 2006 biographical drama film about socialite and Warhol muse Edie Sedgwick, starring Sienna Miller in the lead role.
-
B.
RSpec
RSpec is a popular behavior-driven development (BDD) testing framework for the Ruby programming language, known for its readable, expressive syntax.
-
C.
SuiteBuilder
SuiteBuilder is a NetSuite configuration tool that lets users customize forms, fields, records, and user interface elements without needing to write code.
-
D.
The Rack
The Rack is a 1956 courtroom drama film about the psychological and moral aftermath of a Korean War veteran’s imprisonment and alleged collaboration with the enemy.
-
E.
Ruby on Rails
Ruby on Rails is a popular open-source web application framework that emphasizes convention over configuration and rapid development for building database-backed applications.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c008fdae24819081aa002ad99cd966 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c02032330c819094f2bc1e8c93a5b6 |
completed | March 22, 2026, 5 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0284525148190a7bf88c22723552a |
completed | March 22, 2026, 5:35 p.m. |
Created at: March 22, 2026, 3:36 p.m.