Triple
T10156903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. John Philby |
E233797
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Harry |
E676024
|
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: Harry | Statement: [St. John Philby, givenName, Harry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harry Context triple: [St. John Philby, givenName, Harry]
-
A.
Harry
Harry is the given name of Harry S. Truman, the 33rd president of the United States who led the country through the end of World War II and the beginning of the Cold War.
-
B.
Harry
Harry is the given name of Harry Nilsson, the influential American singer-songwriter known for hits like "Without You" and "Everybody's Talkin'."
-
C.
Harry
Harry is the given name of Harry Gregson-Williams, a prominent British film composer and music producer known for his work on numerous Hollywood soundtracks.
-
D.
Harry
Harry is the given name of American character actor and musician Harry Dean Stanton, known for his distinctive roles in film and television.
-
E.
Harry
chosen
Harry is the given name of Lord Woolf, a prominent British judge and former Lord Chief Justice of England and Wales.
- 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_69ca848e80748190b91d1e04d35512c7 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec3c47dc81909679903e6024eb49 |
completed | April 2, 2026, 4:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2e65b9d4c8190b1f520ed08256372 |
completed | April 5, 2026, 10:46 p.m. |
Created at: March 30, 2026, 9:09 p.m.