Triple
T31232670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francis the Talking Mule |
E796326
|
entity |
| Predicate | primaryHumanCompanionPortrayedBy |
P129059
|
FINISHED |
| Object | Donald O’Connor |
E72353
|
NE 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: Donald O’Connor | Statement: [Francis the Talking Mule, primaryHumanCompanionPortrayedBy, Donald O’Connor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryHumanCompanionPortrayedBy Context triple: [Francis the Talking Mule, primaryHumanCompanionPortrayedBy, Donald O’Connor]
-
A.
portrayedCompanionBy
Indicates that one entity is depicted or represented as a companion of another entity by a specific creator or source.
-
B.
partnerPortrayedBy
chosen
Indicates that one entity is the actor or performer who portrays the partner or counterpart of another entity in a work.
-
C.
friendPortrayedBy
Indicates that a person’s friend is depicted or represented by a particular actor or performer.
-
D.
portrayedInAnimationBy
Indicates that an entity is represented or voiced in an animated work by a particular performer or creator.
-
E.
companionOf
Indicates that one entity serves as a companion or partner to another, typically accompanying or being closely associated with them.
- F. None of above.
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_69f224db69ac81909a370adad6a7ac7c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2b1438c5308190a2f21c6aa4e52b20 |
completed | June 11, 2026, 8:02 p.m. |
| PD | Predicate disambiguation | batch_6a0379e5174c8190a0bdde7e381b7624 |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 9:10 p.m.