Triple
T5224462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hugh Marlowe |
E117950
|
entity |
| Predicate | birthSurname |
P18
|
FINISHED |
| Object | Hipple |
E117950
|
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: Hipple | Statement: [Hugh Marlowe, birthSurname, Hipple]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hipple Context triple: [Hugh Marlowe, birthSurname, Hipple]
-
A.
Hipple
chosen
Hipple is the birth surname of American film and television actor Hugh Marlowe.
-
B.
Netherton
Netherton is a suburban area within the Metropolitan Borough of Sefton in Merseyside, England.
-
C.
Leigh-Mallory
Leigh-Mallory is the surname of a prominent British military family, most notably borne by Air Chief Marshal Trafford Leigh-Mallory, a senior Royal Air Force commander during the Second World War.
-
D.
Beckwith
Beckwith is an English-origin surname borne by various notable individuals across fields such as politics, the arts, and academia.
-
E.
Munnier
Munnier was an architect best known for designing Bangkok’s Democracy Monument, a prominent political and historical landmark in Thailand.
- 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_69bd4465e03081909bfcfd7113062590 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7abd3ed48190bfd8d2f2ca399741 |
completed | March 20, 2026, 4:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beeff852bc81908467a343c5ded404 |
completed | March 21, 2026, 7:22 p.m. |
Created at: March 20, 2026, 1:48 p.m.