Triple
T9854814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weeds |
E239556
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Romany Malco |
E65280
|
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: Romany Malco | Statement: [Weeds, starring, Romany Malco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Romany Malco Context triple: [Weeds, starring, Romany Malco]
-
A.
Romany Malco
chosen
Romany Malco is an American actor and comedian best known for his roles in films like "The 40-Year-Old Virgin" and the TV series "A Million Little Things."
-
B.
Joseph Markovitch
Joseph Markovitch was the father of French photographer and painter Dora Maar, a key figure in the Surrealist movement and companion of Pablo Picasso.
-
C.
Ormond Beatty
Ormond Beatty was a 19th-century American educator and academic administrator best known for serving as president of Centre College in Kentucky.
-
D.
Peter Facinelli
Peter Facinelli is an American actor best known for playing Dr. Carlisle Cullen in the Twilight film series.
-
E.
Moses Gunn
Moses Gunn was an acclaimed American actor known for his powerful stage performances and notable film and television roles, including appearances in works like "Shaft" and "Roots."
- 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_69ca84e4fdc08190a624425bcef98665 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3960fb481909c90d6d6cafc6222 |
completed | April 2, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5f21a04819099f23ede55ec3417 |
completed | April 5, 2026, 3:24 a.m. |
Created at: March 30, 2026, 8:34 p.m.