Triple
T6536667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph Reed |
E168180
|
entity |
| Predicate | hasPartnershipWith |
P1136
|
FINISHED |
| Object |
Tappin
Tappin is a professional collaborator or business partner associated with Joseph Reed.
|
E605723
|
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: Tappin | Statement: [Joseph Reed, hasPartnershipWith, Tappin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tappin Context triple: [Joseph Reed, hasPartnershipWith, Tappin]
-
A.
Tip and Tap
Tip and Tap are the twin boy mascots created to represent West Germany as the official characters of the 1974 FIFA World Cup.
-
B.
Tuktukan
Tuktukan is a barangay (village-level administrative division) in the city of Taguig in Metro Manila, Philippines.
-
C.
Tappara
Tappara is a prominent professional ice hockey club from Tampere, Finland, known as one of the most successful and historic teams in the Finnish Liiga.
-
D.
Tikkana
Tikkana was a prominent 13th-century Telugu poet and scholar best known for translating a major portion of the Mahabharata into Telugu and helping shape classical Telugu literature.
-
E.
Tarouca
Tarouca is a municipality in Portugal’s Douro region, known for its historic monasteries, vineyards, and scenic river valley landscapes.
- 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: Tappin Triple: [Joseph Reed, hasPartnershipWith, Tappin]
Generated description
Tappin is a professional collaborator or business partner associated with Joseph Reed.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tappin Target entity description: Tappin is a professional collaborator or business partner associated with Joseph Reed.
-
A.
Tip and Tap
Tip and Tap are the twin boy mascots created to represent West Germany as the official characters of the 1974 FIFA World Cup.
-
B.
Tuktukan
Tuktukan is a barangay (village-level administrative division) in the city of Taguig in Metro Manila, Philippines.
-
C.
Tappara
Tappara is a prominent professional ice hockey club from Tampere, Finland, known as one of the most successful and historic teams in the Finnish Liiga.
-
D.
Tikkana
Tikkana was a prominent 13th-century Telugu poet and scholar best known for translating a major portion of the Mahabharata into Telugu and helping shape classical Telugu literature.
-
E.
Tarouca
Tarouca is a municipality in Portugal’s Douro region, known for its historic monasteries, vineyards, and scenic river valley landscapes.
- 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_69c68a51564081909e93aee0dbd9cca3 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6add33acc8190bb0a9531648198f2 |
completed | March 27, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d53616848190835d9f02bd8e2dbf |
completed | March 27, 2026, 7:06 p.m. |
| NEDg | Description generation | batch_69c6d6dad26481908ac4bc0ed703091b |
completed | March 27, 2026, 7:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6d833d84c819083ffc81bda7d35d4 |
completed | March 27, 2026, 7:19 p.m. |
Created at: March 27, 2026, 1:49 p.m.