Triple
T120221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robin Hood |
E2428
|
entity |
| Predicate | ally |
P4662
|
FINISHED |
| Object |
Maid Marian
Maid Marian is a legendary English folk heroine traditionally portrayed as Robin Hood’s noble-born love interest and a skilled, resourceful member of his outlaw band.
|
E12990
|
NE FINISHED |
How this triple was built (4 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: Maid Marian | Statement: [Robin Hood, ally, Maid Marian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maid Marian Context triple: [Robin Hood, ally, Maid Marian]
-
A.
Goodwin Knight
Goodwin Knight was an American Republican politician who served as the 31st governor of California in the 1950s.
-
B.
Barbara
Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
-
C.
Louise
Louise is a feminine given name of French origin, traditionally associated with nobility and widely used in many European and English-speaking countries.
-
D.
Eleanor
Eleanor is a feminine given name most famously borne by Eleanor Roosevelt, the influential First Lady of the United States and human rights advocate.
-
E.
Eleanor
Eleanor was one of the merchant ships in Boston Harbor whose tea cargo was destroyed during the Boston Tea Party protest against British taxation in 1773.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Maid Marian Triple: [Robin Hood, ally, Maid Marian]
Generated description
Maid Marian is a legendary English folk heroine traditionally portrayed as Robin Hood’s noble-born love interest and a skilled, resourceful member of his outlaw band.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maid Marian Target entity description: Maid Marian is a legendary English folk heroine traditionally portrayed as Robin Hood’s noble-born love interest and a skilled, resourceful member of his outlaw band.
-
A.
Knight of the Bath
The Knight of the Bath is a rank of knighthood within the British Order of the Bath, historically bestowed as a high honor for distinguished military or civil service.
-
B.
Goodwin Knight
Goodwin Knight was an American Republican politician who served as the 31st governor of California in the 1950s.
-
C.
Barbara
Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
-
D.
Louise
Louise is a feminine given name of French origin, traditionally associated with nobility and widely used in many European and English-speaking countries.
-
E.
Eleanor
Eleanor is a feminine given name most famously borne by Eleanor Roosevelt, the influential First Lady of the United States and human rights advocate.
- F. None of above. chosen
Provenance (5 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_69a2506c5428819085c28a8884790e29 |
completed | Feb. 28, 2026, 2:18 a.m. |
| NER | Named-entity recognition | batch_69a25715cfb881909ffb488f21a4a16d |
completed | Feb. 28, 2026, 2:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2917de638819087f7c16d21963c63 |
completed | Feb. 28, 2026, 6:55 a.m. |
| NEDg | Description generation | batch_69a295bbc23c81908194d6f4bea4fcd4 |
completed | Feb. 28, 2026, 7:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2968bffd881908147c66838776fef |
completed | Feb. 28, 2026, 7:17 a.m. |
Created at: Feb. 28, 2026, 2:24 a.m.