Triple
T29595072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nahum Gardner |
E754269
|
entity |
| Predicate | neighborPerception |
P17784
|
FINISHED |
| Object | considered unlucky |
—
|
LITERAL 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: considered unlucky | Statement: [Nahum Gardner, neighborPerception, considered unlucky]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: neighborPerception Context triple: [Nahum Gardner, neighborPerception, considered unlucky]
-
A.
publicPerception
chosen
Indicates how an individual, group, or entity is viewed, judged, or regarded by the general public or society at large.
-
B.
nearbyInfluence
Indicates that one entity affects or exerts influence on another due to being physically or spatially close to it.
-
C.
neighborhoodFunction
Indicates a relationship where one entity defines or determines the set of nearby or closely related entities (its “neighborhood”) for another entity within a given structure or space.
-
D.
neighborhood
Indicates that one entity is located in close spatial proximity to another, typically within the same local area or district.
-
E.
neighborhoodView
Indicates that an entity has a view overlooking or prominently featuring the surrounding neighborhood or nearby residential area.
- 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_69f0ef836ac88190bd809dc58b5ec907 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f6a8df16a88190a23820e64a3b1f92 |
completed | May 3, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69f6a751d5e48190a77dcecbe7ef9f0b |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 28, 2026, 6:17 p.m.