Triple
T14680970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hallie Eisenberg |
E344781
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Hallie Eisenberg |
E344781
|
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: Hallie Eisenberg | Statement: [Hallie Eisenberg, name, Hallie Eisenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hallie Eisenberg Context triple: [Hallie Eisenberg, name, Hallie Eisenberg]
-
A.
Hallie Eisenberg
chosen
Hallie Eisenberg is an American former child actress best known as the "Pepsi girl" from a series of popular soft drink commercials in the late 1990s and early 2000s.
-
B.
Hallie Elizabeth Newton
Hallie Elizabeth Newton is a screenwriter best known for co-writing the 2012 drama film "At Any Price."
-
C.
Hallie Parker
Hallie Parker is one of the twin sisters, played by Lindsay Lohan, who scheme to reunite their divorced parents in the 1998 film "The Parent Trap."
-
D.
Haley Hudson
Haley Hudson is an American actress best known for her roles in horror and supernatural films and television series.
-
E.
Hallee Hirsh
Hallee Hirsh is an American actress known for her roles in film and television, including appearances in projects like the 2004 drama "Speak" and the series "ER."
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb5692284819090f775be8e478522 |
completed | April 14, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cde041081908ae2f2c75a9d5eb2 |
completed | May 8, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:28 a.m.