Triple
T21398550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philip V of France |
E527851
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Philip
Philip was the given name of Philip V of France, a Capetian king who ruled in the early 14th century.
|
E527851
|
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: Philip | Statement: [Philip V of France, givenName, Philip]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Philip Context triple: [Philip V of France, givenName, Philip]
-
A.
Philip
Philip is the given name of Philip Sheridan, a prominent Union general in the American Civil War who later became Commanding General of the U.S. Army.
-
B.
Philip
Philip was the given name of Philip IV of France, the medieval Capetian king known for his conflicts with the papacy and the suppression of the Knights Templar.
-
C.
Philip
Philip is one of the middle names of William Arthur Philip Louis, better known as Prince William, the heir apparent to the British throne.
-
D.
Philip
Philip is the given name of Philip H. Lathrop, an American cinematographer known for his work on numerous Hollywood films.
-
E.
Philip
Philip is the given name of Philip Barton Key II, the 19th-century U.S. Attorney for the District of Columbia whose 1859 murder by Congressman Daniel Sickles became a landmark legal case.
- 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: Philip Triple: [Philip V of France, givenName, Philip]
Generated description
Philip was the given name of Philip V of France, a Capetian king who ruled in the early 14th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Philip Target entity description: Philip was the given name of Philip V of France, a Capetian king who ruled in the early 14th century.
-
A.
Philip
chosen
Philip was the given name of Philip V of France, a Capetian king who ruled France and Navarre in the early 14th century.
-
B.
Philip
Philip was the given name of Philip III of France, a 13th-century Capetian king who ruled from 1270 to 1285.
-
C.
Philip
Philip was the given name of Philip IV of France, the medieval Capetian king known for his conflicts with the papacy and the suppression of the Knights Templar.
-
D.
Philip
Philip was a common medieval European given name borne by several notable rulers, including kings of France and other realms.
-
E.
Philip
Philip was the given name of Philip the Bold, the influential 14th-century Duke of Burgundy from the French royal House of Valois.
- F. None of above.
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_69e0b520ee3c8190abddbee7e37e834c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee62ce3c5c81909e1e584e2f6667c8 |
completed | April 26, 2026, 7:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09bb4f67ac8190bbb15f29a88b59c5 |
completed | May 17, 2026, 12:57 p.m. |
| NEDg | Description generation | batch_6a09bea3994481908b7a782fd384603a |
completed | May 17, 2026, 1:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09bfa27d848190bb77d632359a11b3 |
completed | May 17, 2026, 1:16 p.m. |
Created at: April 16, 2026, 5:14 p.m.