Triple
T38447740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Onodrim |
E906684
|
entity |
| Predicate | usedInDialogueBy |
P199572
|
FINISHED |
| Object | Elvish-speaking characters |
—
|
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: Elvish-speaking characters | Statement: [Onodrim, usedInDialogueBy, Elvish-speaking characters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInDialogueBy Context triple: [Onodrim, usedInDialogueBy, Elvish-speaking characters]
-
A.
hasDialogueIn
Indicates that an entity participates in or contains spoken or written dialogue within a specified context, such as a scene, work, or medium.
-
B.
hasDialogueAbout
Indicates that one entity engages in dialogue or conversation concerning the topic, subject, or entity specified by the other.
-
C.
dialogueAssociated
Indicates that two entities are connected through a dialogue, conversation, or exchange of spoken or written interaction.
-
D.
hasWrittenDialogueFor
Indicates that one entity has created or authored dialogue content for another entity, such as a work, project, or production.
-
E.
dialoguesBy
Indicates that one entity is the creator, author, or source of the dialogues associated with another entity.
- 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_69f76e72878c8190a692836c8b01b58b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ff45793d5c81909dc503ad1f714ee2 |
completed | May 9, 2026, 2:32 p.m. |
| PD | Predicate disambiguation | batch_69ff41cb0e088190a6e9b03cb20e5fad |
completed | May 9, 2026, 2:16 p.m. |
| PDg | Predicate description generation | batch_69ff45782cb88190b604811e4d724382 |
completed | May 9, 2026, 2:32 p.m. |
Created at: May 3, 2026, 4:31 p.m.