Triple
T19080815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle Cry |
E467025
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Margo Woode
Margo Woode was an American film and television actress active in the mid-20th century, known for her supporting roles in Hollywood productions.
|
E1359065
|
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: Margo Woode | Statement: [Battle Cry, starring, Margo Woode]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Margo Woode Context triple: [Battle Cry, starring, Margo Woode]
-
A.
Margo Gregg
Margo Gregg is known as the wife of legendary Northern Irish football goalkeeper Harry Gregg.
-
B.
Margo Hughes
Margo Hughes is a long-running fictional character from the soap opera "As the World Turns," known for her complex personal relationships and central role in the Hughes family storylines.
-
C.
Margo Lee
Margo Lee is an actress known for her role in the Australian musical comedy film "Starstruck" (1982).
-
D.
Margo Albert
Margo Albert is an individual whose primary public reference is by the name Margo Albert, though further widely known biographical or professional details are not clearly established.
-
E.
Margo Anderson
Margo Anderson is best known as a former wife of American country music star Kenny Rogers.
- 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: Margo Woode Triple: [Battle Cry, starring, Margo Woode]
Generated description
Margo Woode was an American film and television actress active in the mid-20th century, known for her supporting roles in Hollywood productions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Margo Woode Target entity description: Margo Woode was an American film and television actress active in the mid-20th century, known for her supporting roles in Hollywood productions.
-
A.
Margo Gregg
Margo Gregg is known as the wife of legendary Northern Irish football goalkeeper Harry Gregg.
-
B.
Margo Hughes
Margo Hughes is a long-running fictional character from the soap opera "As the World Turns," known for her complex personal relationships and central role in the Hughes family storylines.
-
C.
Margo Lee
Margo Lee is an actress known for her role in the Australian musical comedy film "Starstruck" (1982).
-
D.
Margo Albert
Margo Albert is an individual whose primary public reference is by the name Margo Albert, though further widely known biographical or professional details are not clearly established.
-
E.
Margo Anderson
Margo Anderson is best known as a former wife of American country music star Kenny Rogers.
- 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e2e8f8148190942cca6dd3e30caf |
completed | April 20, 2026, 8:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05e663c5e88190bebc47ce36d7c336 |
completed | May 14, 2026, 3:12 p.m. |
| NEDg | Description generation | batch_6a05e88e3d448190b06ff96e88d60b8c |
completed | May 14, 2026, 3:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05e925f2f881908b86f3c4e83a0d5a |
completed | May 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 12:04 p.m.