Triple
T26955875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irving Underhill |
E678901
|
entity |
| Predicate | notablePlacePhotographed |
P198253
|
FINISHED |
| Object | Lower Manhattan |
—
|
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: Lower Manhattan | Statement: [Irving Underhill, notablePlacePhotographed, Lower Manhattan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notablePlacePhotographed Context triple: [Irving Underhill, notablePlacePhotographed, Lower Manhattan]
-
A.
notablePlaceDepicted
chosen
Indicates that a work (such as an image, artwork, or media) prominently depicts a place that is considered notable or significant.
-
B.
oftenPhotographedAt
Indicates that an entity is frequently the subject of photographs taken at a particular location or during a specific event.
-
C.
photographsTakenIn
Indicates that photographs were captured or taken within a specific location or place.
-
D.
notableFilmingLocation
Indicates that a place served as a significant or well-known location where a film or television production was shot.
-
E.
isFrequentlyPhotographedAs
Indicates that one entity is commonly or repeatedly depicted in photographs in the role, appearance, or identity of another entity.
- F. None of above.
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_69eeeb4e75f08190b14fc91ca4a91488 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69ff56ef0a5c8190ae729d66a8cf7fc4 |
completed | May 9, 2026, 3:46 p.m. |
| PD | Predicate disambiguation | batch_69ff539859c481909ec56310da418688 |
completed | May 9, 2026, 3:32 p.m. |
Created at: April 27, 2026, 6:27 a.m.