Triple
T19138201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rachel, Monique |
E468485
|
entity |
| Predicate | hasTitleComponent |
P38
|
FINISHED |
| Object |
Monique
Monique is a given name commonly used for women, derived from the French form of Monica.
|
E588005
|
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: Monique | Statement: [Rachel, Monique, hasTitleComponent, Monique]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monique Context triple: [Rachel, Monique, hasTitleComponent, Monique]
-
A.
Monique
Monique is the given name of the American comedian and Academy Award–winning actress Mo'Nique.
-
B.
Monique Isnardon
Monique Isnardon is a film editor known for her work on the French comedy "L'Emmerdeur."
-
C.
Monique Faye
Monique Faye is known as the wife of acclaimed German actor Mario Adorf.
-
D.
Mónica
Mónica is the given name of Spanish singer and songwriter Mónica Naranjo, known for her powerful voice and dramatic pop music style.
-
E.
Rachel, Monique
"Rachel, Monique" is a conceptual art project by Sophie Calle centered on her mother’s life, identity, and death, combining text, photography, and installation to explore memory and loss.
- 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: Monique Triple: [Rachel, Monique, hasTitleComponent, Monique]
Generated description
Monique is a given name commonly used for women, derived from the French form of Monica.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Monique Target entity description: Monique is a given name commonly used for women, derived from the French form of Monica.
-
A.
Monique
chosen
Monique is the given name of the American comedian and Academy Award–winning actress Mo'Nique.
-
B.
Monique Isnardon
Monique Isnardon is a film editor known for her work on the French comedy "L'Emmerdeur."
-
C.
Monique Faye
Monique Faye is known as the wife of acclaimed German actor Mario Adorf.
-
D.
Mónica
Mónica is the given name of Spanish singer and songwriter Mónica Naranjo, known for her powerful voice and dramatic pop music style.
-
E.
Rachel, Monique
"Rachel, Monique" is a conceptual art project by Sophie Calle centered on her mother’s life, identity, and death, combining text, photography, and installation to explore memory and loss.
- 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_69d8dd0796a48190b34ce4cd9d3f3be5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3ee8b988190914ef21ca1b890c6 |
completed | April 20, 2026, 8:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05e685266c81909f6c3053d6e50849 |
completed | May 14, 2026, 3:13 p.m. |
| NEDg | Description generation | batch_6a05e9db3fac8190b484ed5e9ff1e961 |
completed | May 14, 2026, 3:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05ea546230819087e952db04137591 |
completed | May 14, 2026, 3:29 p.m. |
Created at: April 10, 2026, 12:05 p.m.