Triple
T10252595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terrence McNally |
E240379
|
entity |
| Predicate | hasSurname |
P18
|
FINISHED |
| Object | McNally |
E240379
|
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: McNally | Statement: [Terrence McNally, hasSurname, McNally]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: McNally Context triple: [Terrence McNally, hasSurname, McNally]
-
A.
McNally
chosen
McNally is the surname of acclaimed American playwright and screenwriter Terrence McNally, known for his influential contributions to contemporary theater.
-
B.
Shanley
Shanley is a surname most notably associated with American playwright, screenwriter, and director John Patrick Shanley, known for works such as "Doubt" and "Moonstruck."
-
C.
MacNelly
MacNelly is the surname of Jeff MacNelly, the Pulitzer Prize–winning American editorial cartoonist and creator of the comic strip "Shoe."
-
D.
Minnelli
Minnelli is a distinguished Italian-American show business family name most famously associated with entertainer Liza Minnelli and film director Vincente Minnelli.
-
E.
O'Hara
O'Hara is the surname of Scarlett O'Hara, the headstrong Southern heroine of Margaret Mitchell's novel "Gone with the Wind."
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d23f106c81909c1ce20a2ffa86ea |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71cc82110819095fb77eb964d23bd |
completed | April 9, 2026, 3:28 a.m. |
Created at: April 6, 2026, 11:29 a.m.