Triple
T5515596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leibowitz |
E144675
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Leibovitz |
E216574
|
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: Leibovitz | Statement: [Leibowitz, hasVariant, Leibovitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leibovitz Context triple: [Leibowitz, hasVariant, Leibovitz]
-
A.
Annie Leibovitz
chosen
Annie Leibovitz is a renowned American portrait photographer celebrated for her iconic, stylized images of celebrities and cultural figures.
-
B.
Doe Avedon
Doe Avedon was an American model and film and television actress active in the mid-20th century.
-
C.
Sylvia Plachy
Sylvia Plachy is a Hungarian-American photographer renowned for her evocative, often surreal street and documentary images, many of which appeared in The Village Voice and major art publications.
-
D.
Nan Goldin
Nan Goldin is an American photographer renowned for her intimate, candid portraits and diaristic documentation of LGBTQ+ communities, relationships, and the AIDS crisis.
-
E.
Liz Smith
Liz Smith was a beloved English character actress known for her comic roles in British television and film, including her work on the sitcom "The Vicar of Dibley."
- 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_69c008f77ff88190b0cd50ca207295d1 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f5d1d188190b3a222a9ecf2a0e6 |
completed | March 22, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c027d92e0c8190ad5552d66e370a22 |
completed | March 22, 2026, 5:33 p.m. |
Created at: March 22, 2026, 3:33 p.m.