Triple
T8999560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Footlight Parade |
E215007
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Hugh Herbert |
E104619
|
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: Hugh Herbert | Statement: [Footlight Parade, starring, Hugh Herbert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hugh Herbert Context triple: [Footlight Parade, starring, Hugh Herbert]
-
A.
Hugh Herbert
chosen
Hugh Herbert was an American comedian, character actor, and screenwriter best known for his eccentric, fluttery persona in 1930s and 1940s Hollywood films.
-
B.
Herbert Burns
Herbert Burns is a Brazilian mixed martial artist and Brazilian jiu-jitsu specialist who has competed in major promotions such as the UFC.
-
C.
Charles Herbert
Charles Herbert was an American child actor best known for his prolific film and television work in the late 1950s and early 1960s.
-
D.
Hugh Baird
Hugh Baird was a Scottish civil engineer best known for his major role in early 19th-century canal design and construction.
-
E.
Joseph Howard
Joseph Howard is the screenwriter best known for writing the hit 1992 comedy film "Sister Act."
- 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_69ca83a12d648190b1e4fe11e8a31890 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc68e3b1f48190bbeafbce363fff53 |
completed | April 1, 2026, 12:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0d987dc81908f1d74f390f18a9c |
completed | April 3, 2026, 2:38 p.m. |
Created at: March 30, 2026, 7:05 p.m.