Triple
T27291441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seymour Platt |
E688636
|
entity |
| Predicate | hasSpokenInMediaAbout |
P3281
|
FINISHED |
| Object | Profumo affair |
—
|
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: Profumo affair | Statement: [Seymour Platt, hasSpokenInMediaAbout, Profumo affair]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpokenInMediaAbout Context triple: [Seymour Platt, hasSpokenInMediaAbout, Profumo affair]
-
A.
hasRepresentationInMedia
Indicates that something is depicted, portrayed, or otherwise represented within a particular medium or media work.
-
B.
hasSpokenAbout
chosen
Indicates that one entity has verbally expressed, discussed, or mentioned another entity or topic.
-
C.
hasMediaCoverageSince
Indicates that an entity has had media coverage starting from a specified point in time and continuing from then onward.
-
D.
usedInMediaOf
Indicates that something (e.g., a work, element, or content) is employed or appears within a particular media work or production.
-
E.
spokenOn
Indicates that an utterance or speech act occurred at or during a specific time or date.
- 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_69ef355a96308190a2bed991525fb278 |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f73223675481908c1bc3208c0f5284 |
completed | May 3, 2026, 11:31 a.m. |
| PD | Predicate disambiguation | batch_69f7317690108190b3aae2cd2e1d069e |
completed | May 3, 2026, 11:28 a.m. |
Created at: April 27, 2026, 11:15 a.m.