Triple
T4369478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philip I, Count of Boulogne |
E98860
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Philip |
E108490
|
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: Philip | Statement: [Philip I, Count of Boulogne, givenName, Philip]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Philip Context triple: [Philip I, Count of Boulogne, givenName, Philip]
-
A.
Philip
Philip is the given first name of Phil Esposito, the Hall of Fame Canadian ice hockey center and former NHL star.
-
B.
Philip
chosen
Philip is one of the Twelve Apostles of Jesus in Christian tradition, recognized as an early follower and messenger of Christ.
-
C.
Philip
Philip is the given first name of the renowned British actor Basil Rathbone, best known for his definitive film portrayals of Sherlock Holmes.
-
D.
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.
-
E.
Philip
Philip is the middle name of George Philip Wells, the zoologist son of author H. G. Wells.
- 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_69b3454db3708190aeafd814413c4c3d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b352052b388190b02cca9a3b480be4 |
completed | March 12, 2026, 11:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5e50838188190b5b698d4bd2b5784 |
completed | March 14, 2026, 10:45 p.m. |
Created at: March 12, 2026, 11:17 p.m.