Triple
T37530167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Haverchuck |
E933014
|
entity |
| Predicate | hasPetAllergy |
P197616
|
FINISHED |
| Object | dogs |
—
|
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: dogs | Statement: [Bill Haverchuck, hasPetAllergy, dogs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPetAllergy Context triple: [Bill Haverchuck, hasPetAllergy, dogs]
-
A.
allergyTested
Indicates that an entity has undergone testing to determine whether it has an allergic reaction to another specified entity.
-
B.
hasPetInterest
Indicates that one entity has an interest in, affinity for, or concern about pets in relation to another entity or context.
-
C.
hasAnimal
Indicates that one entity possesses, keeps, or is associated with an animal.
-
D.
hasPetForm
Indicates that one entity can transform into or assume the form of another entity that is characterized as a pet.
-
E.
hasPetStatus
Indicates that an entity holds a particular role or classification as a pet in relation to 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_69f76ec8862c8190bfa24145f5480642 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fe9dfaa2d08190b2084f63f842eb6b |
completed | May 9, 2026, 2:37 a.m. |
| PD | Predicate disambiguation | batch_69fe9bba947c81908b0b2b92a4d19b37 |
completed | May 9, 2026, 2:28 a.m. |
| PDg | Predicate description generation | batch_69fe9df9561c8190a068f91c9fc78e56 |
completed | May 9, 2026, 2:37 a.m. |
Created at: May 3, 2026, 4:17 p.m.