Triple
T15509811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christina Milian |
E368675
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Christine
Christine is the given first name of American singer, songwriter, and actress Christina Milian.
|
E1161905
|
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: [Christina Milian, givenName, Christine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christine Context triple: [Christina Milian, givenName, Christine]
-
A.
Christine
Christine is a character from the Marvel Cinematic Universe film "Iron Man 3," where she appears as the clairvoyant antagonist manipulating events from behind the scenes.
-
B.
Christine
"Christine" is a 2016 biographical drama film starring Rebecca Hall as troubled 1970s news reporter Christine Chubbuck.
-
C.
Christine
"Christine" is a 1980 post-punk/gothic rock single by Siouxsie and the Banshees, noted for its dark, atmospheric sound and psychologically themed lyrics.
-
D.
Christine
Christine is a rival character to Heed, likely portrayed as a competitive or antagonistic counterpart in their shared narrative.
-
E.
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.
- 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: [Christina Milian, givenName, Christine]
Generated description
Christine is the given first name of American singer, songwriter, and actress Christina Milian.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Christine Target entity description: Christine is the given first name of American singer, songwriter, and actress Christina Milian.
-
A.
Christine
Christine is the birth name of Chrissy Teigen, an American model, television personality, and cookbook author.
-
B.
Christine
Christine is a feminine given name of Greek origin meaning "follower of Christ," widely used in many Western countries.
-
C.
Christine
Christine is the given name of Canadian soccer legend Christine Sinclair, one of the most prolific goal scorers in international football history.
-
D.
Christine
Christine is a fictional character from the 1951 British drama film "Journey into Light."
-
E.
Christine
Christine is a fictional character played by Canadian actress Deborah Kara Unger, best known from her roles in psychological thrillers and horror films.
- 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_69d85a1794cc8190b0b428716296e63e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03fd008708190a3657863eb9ac626 |
completed | April 16, 2026, 1:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d4cf35c8190aa8d2db6dd744c3f |
completed | May 9, 2026, 1:57 p.m. |
| NEDg | Description generation | batch_69ff3e65e31c8190bca4f766afdd49e6 |
completed | May 9, 2026, 2:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff3ebafa488190a971290498234d58 |
completed | May 9, 2026, 2:03 p.m. |
Created at: April 10, 2026, 3:55 a.m.