Triple
T35246884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I'm in Miami Trick (Clean) |
E1017689
|
entity |
| Predicate | hasCleanTitleWord |
P194492
|
FINISHED |
| Object | Trick |
—
|
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: Trick | Statement: [I'm in Miami Trick (Clean), hasCleanTitleWord, Trick]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCleanTitleWord Context triple: [I'm in Miami Trick (Clean), hasCleanTitleWord, Trick]
-
A.
isOneWordTitle
Indicates that the title consists of exactly one word.
-
B.
hasTitleInName
Indicates that an entity’s name explicitly includes a specified title as part of it.
-
C.
hasTitleLetter
Indicates that an entity possesses a specific letter or character within its title.
-
D.
hasTitleIn
Indicates that an entity holds or is associated with a specific title within a particular context, domain, or language.
-
E.
hasTitleName
Indicates that an entity possesses or is associated with a specific title or name.
- 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_69f76de235048190b990070c23c51b6b |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd76d1e5208190a6f26651492d1e3c |
completed | May 8, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69fd702a226c81908edfda00f4be4130 |
completed | May 8, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69fd76d0d7608190b350336d6c18182d |
completed | May 8, 2026, 5:38 a.m. |
Created at: May 3, 2026, 4:02 p.m.