Triple
T20881905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Two Mules for Sister Sara |
E514171
|
entity |
| Predicate | hasTitleCharacter |
P5716
|
FINISHED |
| Object |
Two mules
Two Mules is the titular pair of pack animals that accompany the main characters in the Western film "Two Mules for Sister Sara."
|
E1455608
|
NE FINISHED |
How this triple was built (4 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: Two mules | Statement: [Two Mules for Sister Sara, hasTitleCharacter, Two mules]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Two mules Context triple: [Two Mules for Sister Sara, hasTitleCharacter, Two mules]
-
A.
Mules
The Mules are the men's athletic teams representing the University of Central Missouri in intercollegiate sports.
-
B.
Mules
The Mules are the athletic teams representing Colby College in collegiate sports competitions.
-
C.
Mules
Mules is an early poetry collection by Irish poet Paul Muldoon that helped establish his reputation for inventive language and complex, allusive verse.
-
D.
Mule
Mule Suttles was a legendary power-hitting first baseman and outfielder in Negro league baseball, renowned for his prodigious home runs and later induction into the Baseball Hall of Fame.
-
E.
Muleskinner
Muleskinner was a short-lived but influential early-1970s progressive bluegrass supergroup featuring virtuoso guitarist Clarence White and other prominent acoustic musicians.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Two mules Triple: [Two Mules for Sister Sara, hasTitleCharacter, Two mules]
Generated description
Two Mules is the titular pair of pack animals that accompany the main characters in the Western film "Two Mules for Sister Sara."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Two mules Target entity description: Two Mules is the titular pair of pack animals that accompany the main characters in the Western film "Two Mules for Sister Sara."
-
A.
Mules
The Mules are the athletic teams representing Colby College in collegiate sports competitions.
-
B.
Mules
The Mules are the men's athletic teams representing the University of Central Missouri in intercollegiate sports.
-
C.
Mules
Mules is an early poetry collection by Irish poet Paul Muldoon that helped establish his reputation for inventive language and complex, allusive verse.
-
D.
Mule
Mule Suttles was a legendary power-hitting first baseman and outfielder in Negro league baseball, renowned for his prodigious home runs and later induction into the Baseball Hall of Fame.
-
E.
Muleskinner
Muleskinner was a short-lived but influential early-1970s progressive bluegrass supergroup featuring virtuoso guitarist Clarence White and other prominent acoustic musicians.
- F. None of above. chosen
Provenance (5 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_69e0b4f733f081908a401c0b7beb0b9f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c67a33548190b0f5ba58b001d387 |
completed | April 21, 2026, 12:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0913a46d808190a39fc27ecbb31e99 |
completed | May 17, 2026, 1:02 a.m. |
| NEDg | Description generation | batch_6a09145a9b0481909086941cdd981e1a |
completed | May 17, 2026, 1:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0914f1925081909bce8ad0932c6722 |
completed | May 17, 2026, 1:08 a.m. |
Created at: April 16, 2026, 12:46 p.m.