Triple
T8202581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tang of Shang |
E191613
|
entity |
| Predicate | house |
P1505
|
FINISHED |
| Object |
House of Zi
The House of Zi was the royal family lineage that founded and ruled China’s Shang dynasty.
|
E719281
|
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: House of Zi | Statement: [Tang of Shang, house, House of Zi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: House of Zi Context triple: [Tang of Shang, house, House of Zi]
-
A.
House of Mi
The House of Mi was the royal family clan that ruled the ancient Chinese state of Chu during the Zhou dynasty.
-
B.
House of Ji
The House of Ji was the hereditary ruling clan of the ancient Chinese State of Lu, traditionally associated with the lineage of the Zhou royal family.
-
C.
House of Baux
The House of Baux was a prominent medieval noble family from Provence that produced influential lords and princes, including rulers of the Principality of Orange.
-
D.
House of Kuni
The House of Kuni is a Japanese imperial noble family line to which Empress Kōjun belonged.
-
E.
House of Thani
The House of Thani is the ruling royal family of Qatar, which has governed the country since the 19th century and continues to hold its emirate leadership.
- 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: House of Zi Triple: [Tang of Shang, house, House of Zi]
Generated description
The House of Zi was the royal family lineage that founded and ruled China’s Shang dynasty.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: House of Zi Target entity description: The House of Zi was the royal family lineage that founded and ruled China’s Shang dynasty.
-
A.
House of Mi
The House of Mi was the royal family clan that ruled the ancient Chinese state of Chu during the Zhou dynasty.
-
B.
House of Ji
The House of Ji was the hereditary ruling clan of the ancient Chinese State of Lu, traditionally associated with the lineage of the Zhou royal family.
-
C.
House of Baux
The House of Baux was a prominent medieval noble family from Provence that produced influential lords and princes, including rulers of the Principality of Orange.
-
D.
House of Kuni
The House of Kuni is a Japanese imperial noble family line to which Empress Kōjun belonged.
-
E.
House of Thani
The House of Thani is the ruling royal family of Qatar, which has governed the country since the 19th century and continues to hold its emirate leadership.
- 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_69ca82c7f3e08190857bf1fc63b2a10c |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb5df84b108190b4407a72a3500af9 |
completed | March 31, 2026, 5:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccedc49ba4819099762f200c4e6577 |
completed | April 1, 2026, 10:04 a.m. |
| NEDg | Description generation | batch_69ccf1b818588190936f96d53bf08c2b |
completed | April 1, 2026, 10:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd05c2059081908bd04ee4722f9aad |
completed | April 1, 2026, 11:47 a.m. |
Created at: March 30, 2026, 5:43 p.m.