Triple
T32285368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Munchkin Mayor (1939 film) |
E824814
|
entity |
| Predicate | speaksToCharacter |
P93257
|
FINISHED |
| Object | Dorothy Gale |
—
|
NE NERFINISHED |
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: Dorothy Gale | Statement: [Munchkin Mayor (1939 film), speaksToCharacter, Dorothy Gale]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: speaksToCharacter Context triple: [Munchkin Mayor (1939 film), speaksToCharacter, Dorothy Gale]
-
A.
spokenToCharacter
chosen
Indicates that one character has verbally addressed or communicated directly with another character.
-
B.
speaksWith
Indicates that one entity engages in spoken communication or conversation with another entity.
-
C.
collaboratesWithCharacter
Indicates that one character works together with another character toward a shared goal or activity.
-
D.
hasDialogueIn
Indicates that an entity participates in or contains spoken or written dialogue within a specified context, such as a scene, work, or medium.
-
E.
characterDuet
Indicates a relationship where two characters perform together as a duet in a shared scene, song, or 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_69f349101b788190b4f14884dc7d1ed2 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bcce457c819091b711d6cc66c980 |
completed | May 3, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69f6b632cf788190a3d0c08cd026b84b |
completed | May 3, 2026, 2:42 a.m. |
Created at: May 1, 2026, 12:43 a.m.