Triple
T12002169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth (The Minister’s Black Veil) |
E285690
|
entity |
| Predicate | reactionToVeil |
P69657
|
FINISHED |
| Object | fear |
—
|
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: fear | Statement: [Elizabeth (The Minister’s Black Veil), reactionToVeil, fear]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reactionToVeil Context triple: [Elizabeth (The Minister’s Black Veil), reactionToVeil, fear]
-
A.
veilName
Indicates that an entity is associated with or identified by a particular veil-related name or alias.
-
B.
causedReaction
Indicates that one entity’s action or state brought about a specific reaction or response in another entity.
-
C.
veilCustom
Indicates a customary or traditional practice involving the wearing or use of a veil.
-
D.
reactionType
chosen
Indicates the specific kind or category of reaction that occurs between entities or in response to an event or stimulus.
-
E.
ringReaction
Indicates that one entity performs or undergoes a reaction involving a chemical ring structure in relation to another entity.
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903c36b248190b446b17def94885b |
completed | April 10, 2026, 2:05 p.m. |
| PD | Predicate disambiguation | batch_69d902b245cc8190af96a9c2bd9c6250 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:46 p.m.