Triple
T4539631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Phillips |
E107494
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Zara Tindall |
E107497
|
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: Zara Tindall | Statement: [Mark Phillips, child, Zara Tindall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zara Tindall Context triple: [Mark Phillips, child, Zara Tindall]
-
A.
Zara Tindall
chosen
Zara Tindall is a British equestrian and Olympic silver medallist who is the daughter of Anne, Princess Royal, and a granddaughter of Queen Elizabeth II.
-
B.
Ellie Appleton
Ellie Appleton is the protagonist of the romantic comedy film "Yesterday," in which she serves as the longtime friend and love interest of struggling musician Jack Malik.
-
C.
Pippa Middleton
Pippa Middleton is a British socialite, author, and columnist best known for her prominent role at the wedding of her sister, Catherine, Princess of Wales.
-
D.
Cheryl Morgan
Cheryl Morgan is a prominent science fiction fan writer and critic recognized for her influential contributions to fandom and genre discourse.
-
E.
Pippa Evans
Pippa Evans is a British comedian, actress, and improviser known for her work on radio, television, and live comedy, including character and musical comedy performances.
- 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_69bd43f922788190b7edfa294e39b178 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57ba327c8190a7f12e14077b1fa7 |
completed | March 20, 2026, 2:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdacfff41481908a5c97ab4fcb9259 |
completed | March 20, 2026, 8:24 p.m. |
Created at: March 20, 2026, 1:04 p.m.