Triple
T23424919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Probot |
E560767
|
entity |
| Predicate | hasCollaborator |
P10645
|
FINISHED |
| Object |
Cronos
Cronos is a GitHub App and automation tool that helps manage and streamline repository workflows, often used alongside Probot-based integrations.
|
E1591161
|
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: Cronos | Statement: [Probot, hasCollaborator, Cronos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cronos Context triple: [Probot, hasCollaborator, Cronos]
-
A.
Cronos
Cronos is a 1993 Mexican horror-fantasy film directed by Guillermo del Toro, noted for its inventive vampire mythology and atmospheric visual style.
-
B.
Cronus
Cronus is a Titan in Greek mythology best known for overthrowing his father Uranus and later being overthrown by his own son Zeus.
-
C.
Kronos
Kronos is a workforce management and human capital management software company known for its timekeeping, scheduling, and HR solutions for businesses.
-
D.
Apollonius Cronus
Apollonius Cronus was an ancient Greek philosopher of the Megarian school, known as a logician and teacher influential in the development of dialectical logic.
-
E.
Poseideon
Poseideon was a winter month in the ancient Athenian (Attic) calendar, roughly corresponding to parts of December and January.
- 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: Cronos Triple: [Probot, hasCollaborator, Cronos]
Generated description
Cronos is a GitHub App and automation tool that helps manage and streamline repository workflows, often used alongside Probot-based integrations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cronos Target entity description: Cronos is a GitHub App and automation tool that helps manage and streamline repository workflows, often used alongside Probot-based integrations.
-
A.
Cronos
Cronos is a 1993 Mexican horror-fantasy film directed by Guillermo del Toro, noted for its inventive vampire mythology and atmospheric visual style.
-
B.
Cronus
Cronus is a Titan in Greek mythology best known for overthrowing his father Uranus and later being overthrown by his own son Zeus.
-
C.
Kronos
Kronos is a workforce management and human capital management software company known for its timekeeping, scheduling, and HR solutions for businesses.
-
D.
Apollonius Cronus
Apollonius Cronus was an ancient Greek philosopher of the Megarian school, known as a logician and teacher influential in the development of dialectical logic.
-
E.
Poseideon
Poseideon was a winter month in the ancient Athenian (Attic) calendar, roughly corresponding to parts of December and January.
- 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_69e2454cb1108190ab21ada5411a7146 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a54951688190a3c5382971af3e41 |
completed | April 29, 2026, 6:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0cdf362ef8819094953501bc27f034 |
completed | May 19, 2026, 10:07 p.m. |
| NEDg | Description generation | batch_6a0ce15fd1ec81909d678480e2820dec |
completed | May 19, 2026, 10:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ce1bcd440819087344b83bb0ac0e8 |
completed | May 19, 2026, 10:18 p.m. |
Created at: April 17, 2026, 5:47 p.m.