Triple
T19984450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pigwidgeon |
E493899
|
entity |
| Predicate | firstOwnerInteraction |
P58222
|
FINISHED |
| Object | Ron Weasley reluctantly accepts him as his owl |
—
|
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: Ron Weasley reluctantly accepts him as his owl | Statement: [Pigwidgeon, firstOwnerInteraction, Ron Weasley reluctantly accepts him as his owl]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstOwnerInteraction Context triple: [Pigwidgeon, firstOwnerInteraction, Ron Weasley reluctantly accepts him as his owl]
-
A.
primaryInteraction
Indicates the main or most significant interaction occurring between the involved entities.
-
B.
firstMeets
chosen
Indicates that one entity encounters or comes into contact with another entity for the first time.
-
C.
firstSessionStart
Indicates the point in time when an entity’s very first session or interaction begins.
-
D.
firstSpeechFocus
Indicates that the referenced entity is the primary or initial focus or topic of attention in a given speech or utterance.
-
E.
firstToAuthorize
Indicates that one entity is the earliest or initial party to grant approval, permission, or authorization for a particular action or arrangement relative to others.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65d157d088190af861608936e59b7 |
completed | April 20, 2026, 5:06 p.m. |
| PD | Predicate disambiguation | batch_69e537fae79c81909eae39500766d0b6 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 11, 2026, 3:29 p.m.