Triple
T25387861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tit-Willow |
E631572
|
entity |
| Predicate | hasCharacterMentioned |
P162879
|
FINISHED |
| Object | old willow tree |
—
|
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: old willow tree | Statement: [Tit-Willow, hasCharacterMentioned, old willow tree]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCharacterMentioned Context triple: [Tit-Willow, hasCharacterMentioned, old willow tree]
-
A.
hasCharacterMentioned
chosen
Indicates that one entity includes a reference to or mention of another entity as a character.
-
B.
hasMainCharacterDiscussed
Indicates that the main character has engaged in a discussion or conversation about a particular subject or with another entity.
-
C.
eraMentioned
Indicates that a specific historical or temporal era is explicitly referenced or mentioned in a given context.
-
D.
hasCharacterNamedAfter
Indicates that one entity has a character whose name is derived from or intentionally based on another entity.
-
E.
containsCharacterAction
Indicates that an entity includes or features an action performed by a character within it.
- 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_69e75a8c50788190aabaa9f96710fc43 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f6352fdb788190b9bad30243690743 |
completed | May 2, 2026, 5:32 p.m. |
| PD | Predicate disambiguation | batch_69f63182f1408190bddc1214fcbd6145 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 21, 2026, 1:47 p.m.