Triple
T10997429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marybeth Louise Hutchinson |
E259915
|
entity |
| Predicate | enemyOf |
P437
|
FINISHED |
| Object | Delilah Profitt |
E259264
|
NE FINISHED |
How this triple was built (2 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: Delilah Profitt | Statement: [Marybeth Louise Hutchinson, enemyOf, Delilah Profitt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Delilah Profitt Context triple: [Marybeth Louise Hutchinson, enemyOf, Delilah Profitt]
-
A.
Delilah Profitt
chosen
Delilah Profitt is a popular, sharp-tongued high school cheerleader who becomes one of the central teen protagonists uncovering an alien invasion in the sci-fi horror film "The Faculty."
-
B.
Lola Sewell
Lola Sewell is the daughter of English actor Rufus Sewell.
-
C.
Melody Holt
Melody Holt is an American reality television personality, entrepreneur, and motivational speaker best known for starring on OWN’s reality series "Love & Marriage: Huntsville."
-
D.
Shelbie Bruce
Shelbie Bruce is an American actress best known for her role as the bilingual daughter Cristina Moreno in the film "Spanglish."
-
E.
Talisha Searcy
Talisha Searcy is an American local politician who serves as the mayor of Takoma Park, Maryland.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d796d20b448190958331705de3a9be |
completed | April 9, 2026, 12:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e374762c748190a8c83f3d6fa7b1d3 |
completed | April 18, 2026, 12:09 p.m. |
Created at: April 8, 2026, 9:24 p.m.