Triple
T33307839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monumental Pictures |
E852783
|
entity |
| Predicate | HarlotsFormat |
P177613
|
FINISHED |
| Object | television series |
—
|
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: television series | Statement: [Monumental Pictures, HarlotsFormat, television series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: HarlotsFormat Context triple: [Monumental Pictures, HarlotsFormat, television series]
-
A.
HarlotsGenre
Indicates that a work belongs to the genre associated with harlots (e.g., prostitution-themed or related subject matter).
-
B.
hadMistress
Indicates that a person maintained an extramarital or unofficial romantic/sexual relationship with another person.
-
C.
hiresAsEscort
Indicates that one entity employs another specifically to provide escort or companionship services.
-
D.
Valley of the Dolls
Indicates a relationship where something is associated with, set in, or derived from the work titled "Valley of the Dolls."
-
E.
womenFirstEdition
Indicates that the relationship or action involves the first edition of a work specifically associated with women (e.g., by, for, or about women).
- 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_69f349679fd8819093b9b40e989440e3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7009d39508190af7301f824615e88 |
completed | May 3, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69f6fc5740fc81909774a4f65201a3ff |
completed | May 3, 2026, 7:42 a.m. |
| PDg | Predicate description generation | batch_69f6ffb7554881908993d6d2ffbcf8f5 |
completed | May 3, 2026, 7:56 a.m. |
Created at: May 1, 2026, 1:33 a.m.