Triple
T9592949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris, Texas |
E231459
|
entity |
| Predicate | discussedFor |
P75843
|
FINISHED |
| Object | haunting visual style |
—
|
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: haunting visual style | Statement: [Paris, Texas, discussedFor, haunting visual style]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: discussedFor Context triple: [Paris, Texas, discussedFor, haunting visual style]
-
A.
discussedAs
chosen
Indicates that one entity is talked about, treated, or examined in terms of another entity, often as an example, case, or framing concept.
-
B.
discussed
Indicates that one entity talked about, examined, or debated a topic, issue, or other entity with someone else.
-
C.
frequentlyDiscussedIn
Indicates that a topic, subject, or entity is often the focus of conversation, debate, or mention within a particular context or medium.
-
D.
debatedWithin
Indicates that something is discussed or argued about within a particular group, context, or domain.
-
E.
discourse
Indicates that one entity engages in extended verbal or written communication or discussion with 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_69ca8482884481908eccdfdf64d6fbf7 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a11ec7081908dc580de2f369706 |
completed | April 1, 2026, 10:20 p.m. |
| PD | Predicate disambiguation | batch_69ccd5a359788190b24f82399489f7fe |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:07 p.m.