Triple
T7547523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Orléans-Longueville |
E178443
|
entity |
| Predicate | titleHeld |
P7034
|
FINISHED |
| Object | Count of Montgomery |
E608760
|
NE FINISHED |
How this triple was built (2 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: Count of Montgomery | Statement: [House of Orléans-Longueville, titleHeld, Count of Montgomery]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Count of Montgomery Context triple: [House of Orléans-Longueville, titleHeld, Count of Montgomery]
-
A.
Count of Montgomery
chosen
The Count of Montgomery is a French noble title most famously associated with Gabriel de Montgomery, the 16th-century nobleman whose accidental wounding of King Henry II of France in a jousting tournament led to the king’s death.
-
B.
Lumpkin
Lumpkin is a surname of English origin borne by various notable individuals and families.
-
C.
Colemore
Colemore is a small rural village and civil parish in East Hampshire, England, known for its historic church and agricultural surroundings.
-
D.
Fort Payne
Fort Payne is a small city in northeastern Alabama known for its scenic Appalachian setting and historic role in the Cherokee Nation and the Trail of Tears.
-
E.
McClenny
McClenny is a surname most notably associated with individuals such as Carr Bowers McClenny.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c69f2cbe08819088f9eb0c03ef529b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f89a7b2c8190b2ca57edbb4f0390 |
completed | March 27, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84f2662f881909f65c936be9eab56 |
completed | March 28, 2026, 9:59 p.m. |
Created at: March 27, 2026, 3:49 p.m.