Triple
T21722628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "Take a Look at Me Now" |
E536197
|
entity |
| Predicate | describesSituation |
P264
|
FINISHED |
| Object | seeing an ex-lover move on |
—
|
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: seeing an ex-lover move on | Statement: ["Take a Look at Me Now", describesSituation, seeing an ex-lover move on]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: describesSituation Context triple: ["Take a Look at Me Now", describesSituation, seeing an ex-lover move on]
-
A.
featuresSituation
Indicates that a situation is characterized by, or has as one of its defining aspects, the specified feature or element.
-
B.
describesPremiseOf
Indicates that one entity expresses, explains, or sets out the foundational idea, situation, or assumption underlying another entity.
-
C.
narrativeSituation
Indicates the contextual relationship that defines how events, characters, and perspectives are arranged and presented within a narrative.
-
D.
describes
chosen
Indicates that one entity provides an explanation, representation, or account of another entity or concept.
-
E.
refersSituationTo
Indicates that one entity directs or assigns a situation, case, or matter to another entity for attention, handling, or further action.
- 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd97032c08190820b87a288e77293 |
completed | April 27, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69e6969725bc81908e7ad19619ba2688 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:47 p.m.