Triple
T13782633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pat McCarran |
E331167
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Patrick |
E230660
|
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: Patrick | Statement: [Pat McCarran, givenName, Patrick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patrick Context triple: [Pat McCarran, givenName, Patrick]
-
A.
Patrick
chosen
Patrick is a masculine given name of Latin origin, commonly used in English-speaking countries.
-
B.
Patrick
Patrick is a component or constituent part of something associated with or named Kirkpatrick.
-
C.
Patrick
Patrick is the given first name of Pat Riley, the famed American basketball coach and executive.
-
D.
Philip
Philip is the given name of Philip K. Wrigley, the American chewing gum magnate and longtime owner of the Chicago Cubs.
-
E.
Philip
Philip is the given first name of Phil Lynott, the charismatic Irish musician best known as the frontman and bassist of the rock band Thin Lizzy.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0247ccc881908dad7b547221f15d |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b07b0b2881909b316e3cc67f1ec1 |
completed | May 3, 2026, 8:30 p.m. |
Created at: April 9, 2026, 10:11 p.m.