Triple
T20960823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Muldoon |
E516237
|
entity |
| Predicate | memberOfParliamentFor |
P14627
|
FINISHED |
| Object |
Tamaki
Tamaki is a New Zealand parliamentary electorate, historically notable as a safe National Party seat once held by Prime Minister Robert Muldoon.
|
E1459721
|
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: Tamaki | Statement: [Robert Muldoon, memberOfParliamentFor, Tamaki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tamaki Context triple: [Robert Muldoon, memberOfParliamentFor, Tamaki]
-
A.
Takaishi
Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
-
B.
Fukuhara
Fukuhara was a historical port district in present-day Kobe, Japan, that briefly served as the seat of the imperial court and political center during the late Heian period.
-
C.
Matsuzaki
Matsuzaki is a coastal town on Japan’s Izu Peninsula known for its scenic seaside views, traditional architecture, and hot spring resorts.
-
D.
Wakatoshi
Wakatoshi is a fictional volleyball player from the manga and anime series "Haikyuu!!", known as the powerful ace and captain of Shiratorizawa Academy.
-
E.
Kōki
Kōki is a Japanese given name commonly used for males and borne by various notable figures in Japan.
- 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: Tamaki Triple: [Robert Muldoon, memberOfParliamentFor, Tamaki]
Generated description
Tamaki is a New Zealand parliamentary electorate, historically notable as a safe National Party seat once held by Prime Minister Robert Muldoon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tamaki Target entity description: Tamaki is a New Zealand parliamentary electorate, historically notable as a safe National Party seat once held by Prime Minister Robert Muldoon.
-
A.
Takaishi
Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
-
B.
Fukuhara
Fukuhara was a historical port district in present-day Kobe, Japan, that briefly served as the seat of the imperial court and political center during the late Heian period.
-
C.
Matsuzaki
Matsuzaki is a coastal town on Japan’s Izu Peninsula known for its scenic seaside views, traditional architecture, and hot spring resorts.
-
D.
Wakatoshi
Wakatoshi is a fictional volleyball player from the manga and anime series "Haikyuu!!", known as the powerful ace and captain of Shiratorizawa Academy.
-
E.
Kōki
Kōki is a Japanese given name commonly used for males and borne by various notable figures in Japan.
- 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_69e0b4fde6c48190af1398e7e734629e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fb6f134081908b1ed48ce708f3d5 |
completed | April 21, 2026, 4:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a092798800481909d437b58467f8e2b |
completed | May 17, 2026, 2:27 a.m. |
| NEDg | Description generation | batch_6a0928b4be448190bd862c8f971e61d9 |
completed | May 17, 2026, 2:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0929734a5c8190911e54b601118bae |
completed | May 17, 2026, 2:35 a.m. |
Created at: April 16, 2026, 1:31 p.m.