Triple
T23424922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Probot |
E560767
|
entity |
| Predicate | hasCollaborator |
P10645
|
FINISHED |
| Object |
Wino
Wino is a collaborator associated with Probot, likely contributing to its development or ecosystem as a tool, plugin, or project partner.
|
E1587224
|
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: Wino | Statement: [Probot, hasCollaborator, Wino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wino Context triple: [Probot, hasCollaborator, Wino]
-
A.
Weinke
Weinke is a surname most notably associated with Chris Weinke, a former American football quarterback and Heisman Trophy winner.
-
B.
Winer
Winer is a surname most notably associated with Dave Winer, an influential software developer and pioneer of blogging and RSS technologies.
-
C.
Vino
Vino is a VNC-compatible remote desktop server for the GNOME desktop environment on Unix-like systems.
-
D.
Wein
Wein is a surname most notably associated with George Wein, the influential American jazz promoter and founder of major music festivals such as the Newport Jazz Festival.
-
E.
Mighty Wine
Mighty Wine is a track from Wizkid’s acclaimed Afrobeats album "Made in Lagos."
- 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: Wino Triple: [Probot, hasCollaborator, Wino]
Generated description
Wino is a collaborator associated with Probot, likely contributing to its development or ecosystem as a tool, plugin, or project partner.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wino Target entity description: Wino is a collaborator associated with Probot, likely contributing to its development or ecosystem as a tool, plugin, or project partner.
-
A.
Weinke
Weinke is a surname most notably associated with Chris Weinke, a former American football quarterback and Heisman Trophy winner.
-
B.
Winer
Winer is a surname most notably associated with Dave Winer, an influential software developer and pioneer of blogging and RSS technologies.
-
C.
Vino
Vino is a VNC-compatible remote desktop server for the GNOME desktop environment on Unix-like systems.
-
D.
Wein
Wein is a surname most notably associated with George Wein, the influential American jazz promoter and founder of major music festivals such as the Newport Jazz Festival.
-
E.
Mighty Wine
Mighty Wine is a track from Wizkid’s acclaimed Afrobeats album "Made in Lagos."
- 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_6a0c67a5972c8190b8f04785bb1817ec |
completed | May 19, 2026, 1:37 p.m. |
| NEDg | Description generation | batch_6a0c7216508c81909bd949d50ee2d48b |
completed | May 19, 2026, 2:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c770386a8819098358513016ae5ab |
completed | May 19, 2026, 2:43 p.m. |
Created at: April 17, 2026, 5:47 p.m.