Triple
T22578307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rare Portraits |
E544478
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Rare Portraits |
—
|
NE NERFINISHED |
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: Rare Portraits | Statement: [Rare Portraits, hasTitle, Rare Portraits]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rare Portraits Context triple: [Rare Portraits, hasTitle, Rare Portraits]
-
A.
Rare Portraits
chosen
Rare Portraits is a song featured on the album "Gravitas."
-
B.
Porträts
Porträts is a photographic series by German artist Thomas Ruff featuring large-format, passport-style portraits that explore identity, anonymity, and the nature of photographic representation.
-
C.
Portraits in Miniature
Portraits in Miniature is a collection of brief, incisive biographical sketches by English writer and critic Lytton Strachey, showcasing his wit and psychological insight into historical figures.
-
D.
Portraits
Portraits is a renowned collection of Richard Avedon’s stark, psychologically revealing photographic portraits of notable figures and ordinary people.
-
E.
Portraits
Portraits is a renowned photography book by Helmut Newton featuring his distinctive, provocative images of celebrities and notable figures.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e30d05481909df915354c89f0d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f15feee27c8190b31c923e1f00a363 |
completed | April 29, 2026, 1:33 a.m. |
Created at: April 16, 2026, 8:53 p.m.