Triple
T8075514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andy Warhol’s Factory scene |
E188480
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Brigid Berlin |
E188466
|
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: Brigid Berlin | Statement: [Andy Warhol’s Factory scene, hasMember, Brigid Berlin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brigid Berlin Context triple: [Andy Warhol’s Factory scene, hasMember, Brigid Berlin]
-
A.
Brigid Berlin
chosen
Brigid Berlin was an American artist, Warhol superstar, and underground film actress known for her raw, confessional work and prominent role in Andy Warhol’s Factory scene.
-
B.
Sheelagh
Sheelagh is a feminine given name, typically considered an alternative spelling of Sheila and ultimately derived from the Irish name Síle.
-
C.
Bridget
Bridget is a feminine given name most notably associated with American actress Bridget Fonda.
-
D.
Brigid Marlin
Brigid Marlin is a British fantasy and visionary artist known for her detailed, surreal paintings and for founding the Inscape group of imaginative realism.
-
E.
Moira
Moira is a feminine given name of Greek origin, often considered a variant of Mary and associated with meanings like "fate" or "destiny."
- 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_69ca82b50c708190863f661d438e68df |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb404c513c8190af54d6d6b6d1a81d |
completed | March 31, 2026, 3:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc93e568388190a518baa0badefea4 |
completed | April 1, 2026, 3:41 a.m. |
Created at: March 30, 2026, 5:28 p.m.