Triple
T10692170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Messervy |
E252037
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Frank |
E56064
|
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: Frank | Statement: [Frank Messervy, givenName, Frank]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frank Context triple: [Frank Messervy, givenName, Frank]
-
A.
Frank
chosen
Frank is the given name of the renowned Canadian-American architect Frank Gehry, celebrated for his deconstructivist and sculptural building designs.
-
B.
Frank
Frank is a common surname of Germanic origin borne by numerous notable individuals across politics, arts, and other fields.
-
C.
Frank
Frank is a central, charismatic yet sinister antagonist in the psychological thriller film "Don't Worry Darling," portrayed by Chris Pine.
-
D.
Frank
Frank is the critically acclaimed 2003 debut studio album by English singer-songwriter Amy Winehouse, blending jazz, soul, and R&B influences.
-
E.
Frank
Frank is the given name of Frank McCourt, the Irish-American teacher and Pulitzer Prize–winning author best known for his memoir "Angela’s Ashes."
- 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd37cf408190a1912b3e0aa096a5 |
completed | April 9, 2026, 1:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d988ad741c8190b9ae962e0c5bc272 |
completed | April 10, 2026, 11:33 p.m. |
Created at: April 8, 2026, 9:11 p.m.