Triple
T17957164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gerald MacTeam |
E448981
|
entity |
| Predicate | hasLastName |
P18
|
FINISHED |
| Object |
MacTeam
MacTeam is a surname associated with the individual Gerald MacTeam.
|
E1298141
|
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: MacTeam | Statement: [Gerald MacTeam, hasLastName, MacTeam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MacTeam Context triple: [Gerald MacTeam, hasLastName, MacTeam]
-
A.
MacBook
MacBook is Apple’s line of macOS-based laptop computers known for their sleek design, high-resolution displays, and tight hardware–software integration.
-
B.
Mac mini
The Mac mini is a compact desktop computer designed by Apple that offers full macOS functionality in a small, versatile form factor suitable for both consumer and professional use.
-
C.
MacBook Pro
The MacBook Pro is Apple’s high-performance line of professional-grade laptop computers known for their powerful hardware, premium design, and macOS operating system.
-
D.
Le Mac
Le Mac is a French film associated with the production company La Petite Reine, known for its blend of crime and comedy elements.
-
E.
Mac
Mac is Apple’s line of personal computers known for their sleek hardware design and tight integration with the macOS operating system.
- 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: MacTeam Triple: [Gerald MacTeam, hasLastName, MacTeam]
Generated description
MacTeam is a surname associated with the individual Gerald MacTeam.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MacTeam Target entity description: MacTeam is a surname associated with the individual Gerald MacTeam.
-
A.
MacBook
MacBook is Apple’s line of macOS-based laptop computers known for their sleek design, high-resolution displays, and tight hardware–software integration.
-
B.
Mac mini
The Mac mini is a compact desktop computer designed by Apple that offers full macOS functionality in a small, versatile form factor suitable for both consumer and professional use.
-
C.
MacBook Pro
The MacBook Pro is Apple’s high-performance line of professional-grade laptop computers known for their powerful hardware, premium design, and macOS operating system.
-
D.
Le Mac
Le Mac is a French film associated with the production company La Petite Reine, known for its blend of crime and comedy elements.
-
E.
Mac
Mac is Apple’s line of personal computers known for their sleek hardware design and tight integration with the macOS operating system.
- 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_69d8b9f8cca8819099836916c56b7c95 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4afb0afe08190964e771ec632fa1e |
completed | April 19, 2026, 10:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0329231bc88190bd8dddb2d2f9e5fa |
completed | May 12, 2026, 1:20 p.m. |
| NEDg | Description generation | batch_6a032b6bbebc819084da96216c6406d6 |
completed | May 12, 2026, 1:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a032c34e8ac8190876e37fe8d3aa304 |
completed | May 12, 2026, 1:33 p.m. |
Created at: April 10, 2026, 10:21 a.m.