Triple
T18467875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lisa Nicole Carson |
E451211
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Lisa
Lisa is a feminine given name of Hebrew origin, commonly used as a short form of Elizabeth and widely popular in many English-speaking countries.
|
E300630
|
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: Lisa | Statement: [Lisa Nicole Carson, givenName, Lisa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lisa Context triple: [Lisa Nicole Carson, givenName, Lisa]
-
A.
Lisa
Lisa is the central protagonist of the film "Wicker Park," around whom the story’s romantic mystery and emotional tension revolve.
-
B.
Lisa
Lisa is the given name of Australian musician and composer Lisa Gerrard, renowned for her work as part of Dead Can Dance and for her film scores.
-
C.
Lisa
Lisa is the central female protagonist of the film "The Other Man," around whom the story’s romantic and dramatic tensions revolve.
-
D.
Lisa
Lisa is a person known primarily for holding a position or role that was later taken over by Denise.
-
E.
Lisa
Lisa is the advanced AGA graphics chipset used in the Commodore Amiga 1200 computer, providing enhanced color and display capabilities over earlier Amiga systems.
- 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: Lisa Triple: [Lisa Nicole Carson, givenName, Lisa]
Generated description
Lisa is a feminine given name of Hebrew origin, commonly used as a short form of Elizabeth and widely popular in many English-speaking countries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lisa Target entity description: Lisa is a feminine given name of Hebrew origin, commonly used as a short form of Elizabeth and widely popular in many English-speaking countries.
-
A.
Lisa
chosen
Lisa is a feminine given name commonly used in English-speaking countries, often as a shortened form of Elizabeth or Melissa.
-
B.
Lisa
Lisa is the birth name of Sister Souljah, an American author, activist, and former hip-hop artist known for her outspoken views on race and social justice.
-
C.
Lisa
Lisa is the birth name of American actress and television personality Olivia Munn.
-
D.
Lisa
Lisa is the given name of Australian musician and composer Lisa Gerrard, renowned for her work as part of Dead Can Dance and for her film scores.
-
E.
Lisa
Lisa is a person known primarily for holding a position or role that was later taken over by Denise.
- F. None of above.
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_69d8d38465a0819099b9b42d2a662ac1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e52a8459f88190a54cae4c8cb05119 |
completed | April 19, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a043f24ff448190b1b54ff5209a7b01 |
completed | May 13, 2026, 9:06 a.m. |
| NEDg | Description generation | batch_6a0465ffc3e48190b2e69cf482e49577 |
completed | May 13, 2026, 11:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a04669583fc8190b32ce936b8bb0f63 |
completed | May 13, 2026, 11:55 a.m. |
Created at: April 10, 2026, 11:34 a.m.