Triple
T20492661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terence Stamp |
E502783
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Elizabeth O’Rourke |
—
|
NE NERFINISHED |
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: Elizabeth O’Rourke | Statement: [Terence Stamp, spouse, Elizabeth O’Rourke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elizabeth O’Rourke Context triple: [Terence Stamp, spouse, Elizabeth O’Rourke]
-
A.
Elizabeth O’Rourke
chosen
Elizabeth O’Rourke is best known as the former wife of acclaimed English actor Terence Stamp.
-
B.
Orla Mallon
Orla Mallon is known as the daughter of prominent Northern Irish politician Seamus Mallon.
-
C.
Bridget O’Connor
Bridget O’Connor was a British screenwriter and playwright best known for co-writing the acclaimed adaptation of John le Carré’s Tinker Tailor Soldier Spy (2011).
-
D.
Catherine O'Rourke
Catherine O'Rourke is a fictional protagonist from Christian legal suspense novels, known for being a young reporter entangled in high-profile criminal and faith-related controversies.
-
E.
Una O'Connor
Una O'Connor was an Irish-born character actress best known for her comic and eccentric supporting roles in classic Hollywood films of the 1930s and 1940s, including "The Invisible Man" and "Bride of Frankenstein."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4b0373881909dd3e9387f82eab4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69cbb3bd081909351525208b41bba |
completed | April 20, 2026, 9:38 p.m. |
Created at: April 16, 2026, 11:35 a.m.