Triple
T26285174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herb Streicher |
E661117
|
entity |
| Predicate | postPornCareer |
P160206
|
FINISHED |
| Object | real estate broker |
—
|
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: real estate broker | Statement: [Herb Streicher, postPornCareer, real estate broker]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: postPornCareer Context triple: [Herb Streicher, postPornCareer, real estate broker]
-
A.
posterGirl
Indicates that one entity serves as the emblematic or ideal representative (the “poster girl”) for another entity, such as a cause, brand, or stereotype.
-
B.
isPlaymateOf
Indicates a reciprocal relationship where two entities regularly engage in play or recreational activities together.
-
C.
coneSex
Indicates a sexual or mating relationship involving a cone-shaped structure or entity.
-
D.
primarySourceDepiction
Indicates that one entity serves as the main or authoritative visual or representational source depicting another entity.
-
E.
depictsSex
Indicates that one entity visually represents or portrays sexual activity or sexual content involving another entity.
- F. None of above. chosen
Provenance (4 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_69ee812bbd448190be4d7478b057990a |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f60e76a034819088e757b72d480585 |
completed | May 2, 2026, 2:47 p.m. |
| PD | Predicate disambiguation | batch_69f5f7ff548c8190a23e98c5e66e0bc7 |
completed | May 2, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69f5ffc6268c8190b63f6360ebadab73 |
completed | May 2, 2026, 1:44 p.m. |
Created at: April 26, 2026, 10:04 p.m.