Triple
T19464397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Held |
E486954
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Liane Carrera
Liane Carrera is the daughter of famed Polish-French stage performer and Broadway star Anna Held.
|
E1382752
|
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: Liane Carrera | Statement: [Anna Held, child, Liane Carrera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liane Carrera Context triple: [Anna Held, child, Liane Carrera]
-
A.
Cristel Carrisi
Cristel Carrisi is an Italian television presenter and entrepreneur, best known as the daughter of singers Romina Power and Al Bano.
-
B.
Laura Lopes
Laura Lopes is a British art curator and gallery co-founder, best known as the daughter of Queen Camilla and her first husband, Andrew Parker Bowles.
-
C.
Caroline Celico
Caroline Celico is a Brazilian socialite, former pastor, and philanthropist known for her work with charitable organizations and her past marriage to footballer Kaká.
-
D.
Mair Tavares
Mair Tavares is a film editor known for work on the Brazilian documentary "Bus 174."
-
E.
Karla Souza
Karla Souza is a Mexican actress best known for her role as law student Laurel Castillo on the television drama series "How to Get Away with Murder."
- 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: Liane Carrera Triple: [Anna Held, child, Liane Carrera]
Generated description
Liane Carrera is the daughter of famed Polish-French stage performer and Broadway star Anna Held.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Liane Carrera Target entity description: Liane Carrera is the daughter of famed Polish-French stage performer and Broadway star Anna Held.
-
A.
Cristel Carrisi
Cristel Carrisi is an Italian television presenter and entrepreneur, best known as the daughter of singers Romina Power and Al Bano.
-
B.
Laura Lopes
Laura Lopes is a British art curator and gallery co-founder, best known as the daughter of Queen Camilla and her first husband, Andrew Parker Bowles.
-
C.
Caroline Celico
Caroline Celico is a Brazilian socialite, former pastor, and philanthropist known for her work with charitable organizations and her past marriage to footballer Kaká.
-
D.
Mair Tavares
Mair Tavares is a film editor known for work on the Brazilian documentary "Bus 174."
-
E.
Karla Souza
Karla Souza is a Mexican actress best known for her role as law student Laurel Castillo on the television drama series "How to Get Away with Murder."
- 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633d0fe3c8190b637f78bfad704d0 |
completed | April 20, 2026, 2:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07576d198081908977cda314322799 |
completed | May 15, 2026, 5:27 p.m. |
| NEDg | Description generation | batch_6a07580eaccc8190a957f2a22153399e |
completed | May 15, 2026, 5:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07587a34548190a63148e8fdca14ab |
completed | May 15, 2026, 5:31 p.m. |
Created at: April 10, 2026, 1:39 p.m.