Triple
T11695144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christine Paulin-Mohring |
E277974
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Christine
Christine is a feminine given name of Greek origin, commonly used in many Western countries and derived from the name Christian.
|
E181083
|
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: Christine | Statement: [Christine Paulin-Mohring, givenName, Christine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christine Context triple: [Christine Paulin-Mohring, givenName, Christine]
-
A.
Christine
Christine is the protagonist of H. P. Lovecraft’s novel "Love," around whom the story’s emotional and psychological developments revolve.
-
B.
Christine
Christine is a fictional character from the 1951 British drama film "Journey into Light."
-
C.
Christine
Christine is a rival character to Heed, likely portrayed as a competitive or antagonistic counterpart in their shared narrative.
-
D.
Christine
Christine is a central character in the 1973 mystery film "The Last of Sheila," around whom key elements of the movie’s intricate whodunit plot revolve.
-
E.
Christine
Christine is the birth name of Chrissy Teigen, an American model, television personality, and cookbook author.
- 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: Christine Triple: [Christine Paulin-Mohring, givenName, Christine]
Generated description
Christine is a feminine given name of Greek origin, commonly used in many Western countries and derived from the name Christian.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Christine Target entity description: Christine is a feminine given name of Greek origin, commonly used in many Western countries and derived from the name Christian.
-
A.
Christine
chosen
Christine is a feminine given name of Greek origin meaning "follower of Christ," widely used in many Western countries.
-
B.
Christine
Christine is the given name of Canadian soccer legend Christine Sinclair, one of the most prolific goal scorers in international football history.
-
C.
Christine
Christine is the birth name of Chrissy Teigen, an American model, television personality, and cookbook author.
-
D.
Christine
Christine is the protagonist of H. P. Lovecraft’s novel "Love," around whom the story’s emotional and psychological developments revolve.
-
E.
Christine
Christine is a fictional character from the 1951 British drama film "Journey into Light."
- 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_69d6aafe02d881909900d54ad7d4af84 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a47b9eb48190976a35e91e25b56b |
completed | April 10, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef1471cba88190a7abdcbf4f579ea9 |
completed | April 27, 2026, 7:46 a.m. |
| NEDg | Description generation | batch_69ef511f8f688190b2806d4e8ab16511 |
completed | April 27, 2026, 12:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ef537efcc48190afffaa50f28940d8 |
completed | April 27, 2026, 12:15 p.m. |
Created at: April 8, 2026, 9:40 p.m.