Triple
T5746845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flora the Red Menace |
E126753
|
entity |
| Predicate | marksDebut |
P60224
|
FINISHED |
| Object | Liza Minnelli’s Broadway debut |
—
|
LITERAL 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: Liza Minnelli’s Broadway debut | Statement: [Flora the Red Menace, marksDebut, Liza Minnelli’s Broadway debut]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marksDebut Context triple: [Flora the Red Menace, marksDebut, Liza Minnelli’s Broadway debut]
-
A.
marksDebutOfCharacter
Indicates that an event, work, or appearance represents the first introduction of a particular character.
-
B.
madeProfessionalDebutIn
chosen
Indicates the time or event in which an individual first performed or appeared in a professional capacity within a given field or organization.
-
C.
labelDebutOf
Indicates the event, work, or context in which an entity (such as an artist, character, or product) first officially appears or is introduced.
-
D.
marksOn
Indicates that one entity bears visible signs, traces, or imprints that have been made or left by another entity.
-
E.
marque
Indicates that one entity is the brand or make associated with another entity, such as a product, vehicle, or manufactured item.
- F. None of above.
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_69c0083179548190b384b0bf3c08ca4d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b52663c8190ab44258468d4296d |
completed | March 22, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69c021ca61688190875bd6107161c284 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:48 p.m.