Triple
T32193666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Gift (Buffy the Vampire Slayer) |
E822339
|
entity |
| Predicate | containsMonologue |
P111474
|
FINISHED |
| Object | Buffy explains why death is her gift. |
—
|
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: Buffy explains why death is her gift. | Statement: [The Gift (Buffy the Vampire Slayer), containsMonologue, Buffy explains why death is her gift.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsMonologue Context triple: [The Gift (Buffy the Vampire Slayer), containsMonologue, Buffy explains why death is her gift.]
-
A.
hasCharacterMonologue
Indicates that a character delivers an extended solo speech or monologue within a narrative or performance.
-
B.
featuresMonologues
chosen
Indicates that something (such as a work, performance, or medium) contains or includes one or more monologues as a notable element.
-
C.
monologueStyle
Indicates that an entity delivers or is presented in a monologue format, characterized by a single voice speaking at length without direct interaction from others.
-
D.
timeOfMonologue
Indicates the specific time at which a monologue occurs or is delivered.
-
E.
hasDialogueIn
Indicates that an entity participates in or contains spoken or written dialogue within a specified context, such as a scene, work, or medium.
- 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_69f3490819cc81909bae1f8ce99423c5 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69ffbf84f4948190b41a7bba07ae61ec |
completed | May 9, 2026, 11:13 p.m. |
| PD | Predicate disambiguation | batch_69ffbf0a59f88190870dbe25d8a63a00 |
completed | May 9, 2026, 11:11 p.m. |
Created at: May 1, 2026, 12:35 a.m.