Triple
T278795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laurence Olivier |
E5308
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Laurence
Laurence is a masculine given name of Latin origin, commonly used in English-speaking countries.
|
E48169
|
NE FINISHED |
How this triple was built (4 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: Laurence | Statement: [Laurence Olivier, givenName, Laurence]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laurence Context triple: [Laurence Olivier, givenName, Laurence]
-
A.
Harold
Harold is a masculine given name of Old English origin, historically borne by several notable figures including kings and modern public personalities.
-
B.
Bernard
Bernard is a masculine given name of Old French and Germanic origin, historically borne by notable figures such as military leaders and saints.
-
C.
Walter
Walter is a masculine given name of Germanic origin that has been widely used in English-speaking countries.
-
D.
Bertram Ramsay
Bertram Ramsay was a British admiral who played a key role in planning and directing major Allied naval operations during World War II, including the Dunkirk evacuation and the D-Day landings.
-
E.
Earl
An Earl is a noble rank in the British and some European peerage systems, historically positioned below a marquess and above a viscount.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Laurence Triple: [Laurence Olivier, givenName, Laurence]
Generated description
Laurence is a masculine given name of Latin origin, commonly used in English-speaking countries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Laurence Target entity description: Laurence is a masculine given name of Latin origin, commonly used in English-speaking countries.
-
A.
Harold
Harold is a masculine given name of Old English origin, historically borne by several notable figures including kings and modern public personalities.
-
B.
Bernard
Bernard is a masculine given name of Old French and Germanic origin, historically borne by notable figures such as military leaders and saints.
-
C.
Walter
Walter is a masculine given name of Germanic origin that has been widely used in English-speaking countries.
-
D.
Bertram Ramsay
Bertram Ramsay was a British admiral who played a key role in planning and directing major Allied naval operations during World War II, including the Dunkirk evacuation and the D-Day landings.
-
E.
Earl
An Earl is a noble rank in the British and some European peerage systems, historically positioned below a marquess and above a viscount.
- F. None of above. chosen
Provenance (5 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_69a257e6c8788190987dfe705ca2912a |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25dee7830819087f153769a8496b9 |
completed | Feb. 28, 2026, 3:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3faf81e108190b85040e8de93bfcb |
completed | March 1, 2026, 8:38 a.m. |
| NEDg | Description generation | batch_69a3fbc934008190b9af541771703b8c |
completed | March 1, 2026, 8:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3fc1676ec819099738ad3007452bc |
completed | March 1, 2026, 8:43 a.m. |
Created at: Feb. 28, 2026, 2:59 a.m.