Triple
T15625580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike and Dave Need Wedding Dates |
E375667
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Zac Efron |
E222768
|
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: Zac Efron | Statement: [Mike and Dave Need Wedding Dates, starring, Zac Efron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zac Efron Context triple: [Mike and Dave Need Wedding Dates, starring, Zac Efron]
-
A.
Zac Efron
chosen
Zac Efron is an American actor and singer who rose to fame with Disney’s "High School Musical" series and has since starred in a variety of film and television roles.
-
B.
Dylan Efron
Dylan Efron is an American producer, filmmaker, and outdoor adventure enthusiast known for his work on film projects and for being the younger brother of actor Zac Efron.
-
C.
Taylor Lautner
Taylor Lautner is an American actor best known for playing werewolf Jacob Black in the Twilight film series.
-
D.
Liam Hemsworth
Liam Hemsworth is an Australian actor known for his role as Gale Hawthorne in "The Hunger Games" film series and for his high-profile relationship with singer Miley Cyrus.
-
E.
Garrett Hedlund
Garrett Hedlund is an American actor and singer known for roles in films such as "Tron: Legacy," "Friday Night Lights," and "Country Strong."
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e9e5e248190ae54cda1fde51efb |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f415c2c81909e232e1c6531da93 |
completed | May 9, 2026, 4:22 p.m. |
Created at: April 10, 2026, 4:14 a.m.