Triple
T34889674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louise Lawler |
E1006246
|
entity |
| Predicate | notableExhibition |
P1513
|
FINISHED |
| Object |
Louise Lawler: Why Pictures Now (Museum of Modern Art, 2017)
"Louise Lawler: Why Pictures Now" is a 2017 Museum of Modern Art retrospective that surveys the conceptual artist’s decades-long practice of photographing artworks in situ to critique authorship, context, and the art market.
|
E2116079
|
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: Louise Lawler: Why Pictures Now (Museum of Modern Art, 2017) | Statement: [Louise Lawler, notableExhibition, Louise Lawler: Why Pictures Now (Museum of Modern Art, 2017)]
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: Louise Lawler: Why Pictures Now (Museum of Modern Art, 2017) Triple: [Louise Lawler, notableExhibition, Louise Lawler: Why Pictures Now (Museum of Modern Art, 2017)]
Generated description
"Louise Lawler: Why Pictures Now" is a 2017 Museum of Modern Art retrospective that surveys the conceptual artist’s decades-long practice of photographing artworks in situ to critique authorship, context, and the art market.
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_69f76dbedb288190afe5780710847410 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f781bd5c448190aa4789a4d22b7a93 |
completed | May 3, 2026, 5:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3786e022a48190b3b569c8764a194e |
completed | June 21, 2026, 6:38 a.m. |
| NEDg | Description generation | batch_6a37878d76308190a5cd6d03c4bd7d28 |
completed | June 21, 2026, 6:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a37880ce93c8190a44f3723c33cf538 |
completed | June 21, 2026, 6:43 a.m. |
Created at: May 3, 2026, 4 p.m.