Triple
T8067520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harriet Burrow |
E188280
|
entity |
| Predicate | hasSurname |
P18
|
FINISHED |
| Object | Burrow |
E188280
|
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: Burrow | Statement: [Harriet Burrow, hasSurname, Burrow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burrow Context triple: [Harriet Burrow, hasSurname, Burrow]
-
A.
Burrow
chosen
Burrow is a surname of English origin borne by various individuals, including Harriet Burrow.
-
B.
The Burrows
The Burrows is a residential area forming part of the community around Cimla in Neath, South Wales.
-
C.
Blacknest
Blacknest is a small rural settlement in East Hampshire, England, known for its countryside setting and proximity to the South Downs.
-
D.
Battling Burrows
Battling Burrows is the brutal, abusive prizefighter father in D. W. Griffith’s silent film "Broken Blossoms."
-
E.
Bonegilla
Bonegilla is a rural locality in northeastern Victoria, Australia, best known as the site of the former Bonegilla Migrant Reception and Training Centre that played a major role in post–World War II immigration.
- 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_69ca82b42674819086840efea12478e5 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ff8a4fc8190a97fc7111ca7ec4d |
completed | March 31, 2026, 3:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63e587908190980f1f026f4aa153 |
completed | April 1, 2026, 12:16 a.m. |
Created at: March 30, 2026, 5:26 p.m.